HP HP Z2 Mini G1i Workstation Desktop PC
Geekbench AI Score
6819
Single Precision Score
2455
Half Precision Score
10086
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 06:21 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP Z2 Mini G1i Workstation Desktop PC |
| Motherboard | HP 8D3E |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5504
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
816
151.7 IPS |
|
|
Image Classification (Q)
|
99% |
9991
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2574
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5075
82.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14875
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8031
9.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
46088
54.0 IPS |
|
|
Object Detection (SP)
|
100% |
4809
381.4 IPS |
|
|
Object Detection (HP)
|
100% |
1075
85.2 IPS |
|
|
Object Detection (Q)
|
86% |
12235
983.3 IPS |
|
|
Face Detection (SP)
|
100% |
12908
153.4 IPS |
|
|
Face Detection (HP)
|
100% |
2503
29.7 IPS |
|
|
Face Detection (Q)
|
97% |
13367
159.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14762
113.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3368
25.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
23952
191.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32330
41.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21349
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20999
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5567
205.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3506
129.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6818
252.5 IPS |
|
|
Text Classification (SP)
|
100% |
1923
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
980
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1708
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3256
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4871
97.9 IPS |
