Intel(R) UHD Graphics 770 HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
1663
Single Precision Score
1672
Half Precision Score
1103
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | icemc |
| Upload Date | August 29 2024 06:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | HP HP Z2 Tower G9 Workstation Desktop PC |
| Motherboard | HP 895C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
681
126.6 IPS |
|
|
Image Classification (HP)
|
100% |
697
129.7 IPS |
|
|
Image Classification (Q)
|
100% |
555
103.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1029
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1144
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
782
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5471
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
5891
6.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
3659
4.29 IPS |
|
|
Object Detection (SP)
|
100% |
767
60.8 IPS |
|
|
Object Detection (HP)
|
98% |
666
53.0 IPS |
|
|
Object Detection (Q)
|
89% |
633
50.7 IPS |
|
|
Face Detection (SP)
|
100% |
1454
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
1561
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
1030
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3022
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3316
25.6 IPS |
|
|
Depth Estimation (Q)
|
73% |
2181
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11034
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14918
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8236
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1830
67.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2603
96.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
947
35.1 IPS |
|
|
Text Classification (SP)
|
100% |
870
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
403
538.0 IPS |
|
|
Text Classification (Q)
|
97% |
456
610.2 IPS |
|
|
Machine Translation (SP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
60% |
334
7.45 IPS |
