HP HP Z2 SFF G1i Workstation Desktop PC
Geekbench AI Score
4413
Single Precision Score
7435
Half Precision Score
11612
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 01:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z2 SFF G1i Workstation Desktop PC |
| Motherboard | HP 8D3D |
| Power Plan | HP High Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245 |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3211
597.1 IPS |
|
|
Image Classification (HP)
|
100% |
4991
928.2 IPS |
|
|
Image Classification (Q)
|
100% |
6521
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6260
101.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9103
147.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11222
13.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
10517
12.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
34208
40.0 IPS |
|
|
Object Detection (SP)
|
100% |
2900
230.0 IPS |
|
|
Object Detection (HP)
|
100% |
4785
379.5 IPS |
|
|
Object Detection (Q)
|
88% |
8106
649.6 IPS |
|
|
Face Detection (SP)
|
100% |
4660
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
10183
121.0 IPS |
|
|
Face Detection (Q)
|
100% |
18600
221.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10313
79.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
18345
141.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
22595
175.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26048
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35123
45.2 IPS |
|
|
Style Transfer (Q)
|
98% |
77350
99.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4539
167.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8317
307.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13204
489.0 IPS |
|
|
Text Classification (SP)
|
71% |
1319
1.91 KIPS |
|
|
Text Classification (HP)
|
71% |
2104
3.04 KIPS |
|
|
Text Classification (Q)
|
92% |
2197
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1552
26.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2860
49.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2873
49.7 IPS |
