HP HP Elite SFF 600 G9 Desktop PC
Geekbench AI Score
2215
Single Precision Score
3120
Half Precision Score
4686
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | asymptotepmo |
| Upload Date | October 07 2025 12:04 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP Elite SFF 600 G9 Desktop PC |
| Motherboard | HP 8951 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1329
247.2 IPS |
|
|
Image Classification (HP)
|
100% |
1949
362.4 IPS |
|
|
Image Classification (Q)
|
99% |
2906
542.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2216
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3539
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4118
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4080
4.76 IPS |
|
|
Pose Estimation (HP)
|
99% |
2973
3.47 IPS |
|
|
Pose Estimation (Q)
|
97% |
12094
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1235
97.9 IPS |
|
|
Object Detection (HP)
|
98% |
1867
148.5 IPS |
|
|
Object Detection (Q)
|
90% |
2934
234.6 IPS |
|
|
Face Detection (SP)
|
100% |
4209
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
6611
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
8295
98.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4571
35.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
7201
55.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
9576
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10430
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15897
20.4 IPS |
|
|
Style Transfer (Q)
|
98% |
27495
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1805
66.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2831
104.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5210
192.9 IPS |
|
|
Text Classification (SP)
|
71% |
771
1.12 KIPS |
|
|
Text Classification (HP)
|
71% |
852
1.23 KIPS |
|
|
Text Classification (Q)
|
92% |
821
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1251
21.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1288
22.2 IPS |
