HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
24778
Single Precision Score
31208
Half Precision Score
19362
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | aeonsim |
| Upload Date | November 06 2025 05:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| 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 High Performance |
| 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 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11777
2.19 KIPS |
|
|
Image Classification (HP)
|
100% |
12664
2.36 KIPS |
|
|
Image Classification (Q)
|
100% |
10631
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22445
363.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17734
287.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18638
303.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
127799
149.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
184772
215.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
104078
121.9 IPS |
|
|
Object Detection (SP)
|
100% |
7279
577.3 IPS |
|
|
Object Detection (HP)
|
100% |
13076
1.04 KIPS |
|
|
Object Detection (Q)
|
87% |
7037
565.1 IPS |
|
|
Face Detection (SP)
|
100% |
30670
364.4 IPS |
|
|
Face Detection (HP)
|
100% |
44445
528.1 IPS |
|
|
Face Detection (Q)
|
97% |
25817
307.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
55355
426.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
67046
516.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
44967
360.6 IPS |
|
|
Style Transfer (SP)
|
100% |
224263
288.3 IPS |
|
|
Style Transfer (HP)
|
100% |
376420
483.9 IPS |
|
|
Style Transfer (Q)
|
98% |
201498
259.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39511
1.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47011
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26974
998.8 IPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
3795
5.07 KIPS |
|
|
Text Classification (Q)
|
97% |
2423
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
6995
120.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8071
139.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3339
62.6 IPS |
