HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench ML Score
19618
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 14 2025 01:36 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z2 Mini G1a Workstation Desktop PC |
| Motherboard | HP 8D1D |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD RYZEN AI MAX+ PRO 395 w/ Radeon 8060S |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10489
1.96 KIPS |
|
|
Image Classification (F16)
|
100% |
9642
1.80 KIPS |
|
|
Image Classification (I8)
|
100% |
9244
1.73 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15469
258.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
16451
274.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
13892
232.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
133222
161.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
133160
161.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
112302
136.0 IPS |
|
|
Object Detection (F32)
|
100% |
4377
326.7 IPS |
|
|
Object Detection (F16)
|
100% |
4522
337.6 IPS |
|
|
Object Detection (I8)
|
62% |
4278
319.4 IPS |
|
|
Face Detection (F32)
|
100% |
24730
294.0 IPS |
|
|
Face Detection (F16)
|
100% |
24617
292.7 IPS |
|
|
Face Detection (I8)
|
89% |
18742
222.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
47298
366.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
47356
367.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
41316
320.4 IPS |
|
|
Style Transfer (F32)
|
100% |
220903
290.6 IPS |
|
|
Style Transfer (F16)
|
100% |
217967
286.7 IPS |
|
|
Style Transfer (I8)
|
98% |
183499
241.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
31042
1.11 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
32509
1.16 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
23091
824.7 IPS |
|
|
Text Classification (F32)
|
100% |
3914
5.63 KIPS |
|
|
Text Classification (F16)
|
100% |
3853
5.54 KIPS |
|
|
Text Classification (I8)
|
98% |
2602
3.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
6194
114.0 IPS |
|
|
Machine Translation (F16)
|
100% |
6075
111.8 IPS |
|
|
Machine Translation (I8)
|
70% |
3366
61.9 IPS |
