HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
6343
Single Precision Score
2272
Half Precision Score
10965
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 25 2025 03:33 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 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4829
898.1 IPS |
|
|
Image Classification (HP)
|
100% |
683
126.9 IPS |
|
|
Image Classification (Q)
|
99% |
12241
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14987
243.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15199
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11291
13.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
48402
56.8 IPS |
|
|
Object Detection (SP)
|
100% |
5206
412.9 IPS |
|
|
Object Detection (HP)
|
100% |
848
67.3 IPS |
|
|
Object Detection (Q)
|
86% |
12103
972.7 IPS |
|
|
Face Detection (SP)
|
100% |
11548
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
1900
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
13017
155.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15218
117.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2918
22.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11314
90.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29930
38.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25706
33.0 IPS |
|
|
Style Transfer (Q)
|
98% |
48226
62.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4132
152.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3421
126.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5009
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
2578
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1097
1.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1743
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2772
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3773
75.8 IPS |
