HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
4810
Single Precision Score
2194
Half Precision Score
10214
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 13 2025 10:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD RYZEN AI MAX PRO 385 w/ Radeon 8050S |
| 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 385 w/ Radeon 8050S |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4182
777.7 IPS |
|
|
Image Classification (HP)
|
100% |
857
159.4 IPS |
|
|
Image Classification (Q)
|
99% |
10306
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10709
174.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7968
9.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
6817
7.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
31093
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3947
313.1 IPS |
|
|
Object Detection (HP)
|
100% |
980
77.7 IPS |
|
|
Object Detection (Q)
|
86% |
10207
820.3 IPS |
|
|
Face Detection (SP)
|
100% |
8792
104.5 IPS |
|
|
Face Detection (HP)
|
100% |
2026
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
12282
146.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10157
78.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3339
25.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11132
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18806
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15475
19.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35398
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3467
128.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2948
108.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6908
255.8 IPS |
|
|
Text Classification (SP)
|
100% |
2699
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1171
1.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2258
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3992
68.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1122
19.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4677
94.0 IPS |
