HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
26278
Single Precision Score
32681
Half Precision Score
20124
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 11 2025 07:47 PM |
| Views | 6 |
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 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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12697
2.36 KIPS |
|
|
Image Classification (HP)
|
100% |
13822
2.57 KIPS |
|
|
Image Classification (Q)
|
100% |
11152
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23201
376.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16820
272.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18809
305.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
139040
162.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
202051
235.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
114819
134.5 IPS |
|
|
Object Detection (SP)
|
100% |
7157
567.7 IPS |
|
|
Object Detection (HP)
|
100% |
13629
1.08 KIPS |
|
|
Object Detection (Q)
|
87% |
7003
562.5 IPS |
|
|
Face Detection (SP)
|
100% |
29492
350.4 IPS |
|
|
Face Detection (HP)
|
100% |
45793
544.1 IPS |
|
|
Face Detection (Q)
|
97% |
23437
279.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
53261
410.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
68174
525.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
44852
359.7 IPS |
|
|
Style Transfer (SP)
|
100% |
251931
323.9 IPS |
|
|
Style Transfer (HP)
|
100% |
380214
488.8 IPS |
|
|
Style Transfer (Q)
|
98% |
204059
263.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44052
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50002
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32960
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
4346
5.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4433
5.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2898
3.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
7070
121.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8252
142.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3153
59.1 IPS |
