HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
12203
Single Precision Score
16605
Half Precision Score
9263
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| Upload Date | December 02 2025 08:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8040S 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD RYZEN AI MAX PRO 380 w/ Radeon 8040S |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4107
763.7 IPS |
|
|
Image Classification (HP)
|
100% |
7040
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
4003
744.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
9711
157.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7016
113.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7659
124.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
58646
68.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
83752
97.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
47485
55.6 IPS |
|
|
Object Detection (SP)
|
100% |
3364
266.9 IPS |
|
|
Object Detection (HP)
|
100% |
5503
436.5 IPS |
|
|
Object Detection (Q)
|
87% |
2474
198.7 IPS |
|
|
Face Detection (SP)
|
100% |
12814
152.3 IPS |
|
|
Face Detection (HP)
|
100% |
19230
228.5 IPS |
|
|
Face Detection (Q)
|
97% |
10646
126.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
24003
184.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
39584
305.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
21756
174.5 IPS |
|
|
Style Transfer (SP)
|
100% |
95727
123.1 IPS |
|
|
Style Transfer (HP)
|
100% |
160710
206.6 IPS |
|
|
Style Transfer (Q)
|
98% |
79689
102.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20332
750.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28484
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15059
557.6 IPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
3675
4.91 KIPS |
|
|
Text Classification (Q)
|
97% |
2372
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4769
82.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5468
94.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1959
36.7 IPS |
