HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
5928
Single Precision Score
2235
Half Precision Score
10747
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 04 2025 03:20 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ PRO 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP Z2 Mini G1a Workstation Desktop PC |
| Motherboard | HP 8D1D |
| 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% |
4278
795.6 IPS |
|
|
Image Classification (HP)
|
100% |
629
117.0 IPS |
|
|
Image Classification (Q)
|
99% |
9224
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14060
228.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14759
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
11186
13.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
48442
56.8 IPS |
|
|
Object Detection (SP)
|
100% |
4930
391.0 IPS |
|
|
Object Detection (HP)
|
100% |
899
71.3 IPS |
|
|
Object Detection (Q)
|
86% |
12413
997.6 IPS |
|
|
Face Detection (SP)
|
100% |
11167
132.7 IPS |
|
|
Face Detection (HP)
|
100% |
1857
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
13031
155.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14547
112.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2918
22.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11533
92.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29869
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25630
32.9 IPS |
|
|
Style Transfer (Q)
|
98% |
49448
63.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4066
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3084
113.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5170
191.4 IPS |
|
|
Text Classification (SP)
|
100% |
2221
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1665
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3151
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1094
18.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4122
82.8 IPS |
