HP HP Z2 Mini G5 Workstation
Geekbench AI Score
1823
Single Precision Score
2621
Half Precision Score
2490
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JakobLW |
| Upload Date | May 24 2025 07:35 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics P630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | HP HP Z2 Mini G5 Workstation |
| Motherboard | HP 8754 |
| Power Plan | Ultimativ ydeevne |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-1270P |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1116
207.6 IPS |
|
|
Image Classification (HP)
|
100% |
1796
334.1 IPS |
|
|
Image Classification (Q)
|
100% |
1626
302.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1584
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2416
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2246
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2815
3.29 IPS |
|
|
Pose Estimation (HP)
|
99% |
2584
3.02 IPS |
|
|
Pose Estimation (Q)
|
97% |
3867
4.53 IPS |
|
|
Object Detection (SP)
|
100% |
1089
86.4 IPS |
|
|
Object Detection (HP)
|
99% |
1755
139.6 IPS |
|
|
Object Detection (Q)
|
88% |
1635
131.1 IPS |
|
|
Face Detection (SP)
|
100% |
3320
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
5438
64.6 IPS |
|
|
Face Detection (Q)
|
97% |
4754
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3308
25.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5549
42.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
5041
39.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7894
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10543
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
9497
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1380
50.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2408
88.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2297
85.1 IPS |
|
|
Text Classification (SP)
|
71% |
747
1.08 KIPS |
|
|
Text Classification (HP)
|
71% |
884
1.28 KIPS |
|
|
Text Classification (Q)
|
92% |
665
893.1 IPS |
|
|
Machine Translation (SP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (HP)
|
97% |
1152
19.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1143
19.8 IPS |
