Intel(R) UHD Graphics 770 (iGPU) HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
2398
Single Precision Score
3408
Half Precision Score
5299
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | icemc |
| Upload Date | August 29 2024 06:31 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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% |
1629
303.0 IPS |
|
|
Image Classification (HP)
|
100% |
2687
499.8 IPS |
|
|
Image Classification (Q)
|
99% |
3347
624.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2410
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3840
62.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4418
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4362
5.09 IPS |
|
|
Pose Estimation (HP)
|
99% |
3181
3.71 IPS |
|
|
Pose Estimation (Q)
|
97% |
12921
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.4 IPS |
|
|
Object Detection (HP)
|
98% |
2302
183.2 IPS |
|
|
Object Detection (Q)
|
90% |
3883
310.5 IPS |
|
|
Face Detection (SP)
|
100% |
4991
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
7663
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
9040
107.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5062
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8340
64.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
11974
94.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11446
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19063
24.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29986
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2034
75.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3321
122.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6724
249.0 IPS |
|
|
Text Classification (SP)
|
71% |
578
836.5 IPS |
|
|
Text Classification (HP)
|
71% |
757
1.10 KIPS |
|
|
Text Classification (Q)
|
92% |
756
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (HP)
|
98% |
914
15.8 IPS |
|
|
Machine Translation (Q)
|
89% |
1428
24.8 IPS |
