Dell Inc. Precision 7670
Geekbench AI Score
2570
Single Precision Score
3725
Half Precision Score
5892
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Angus72 |
| Upload Date | August 18 2024 05:14 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 7670 |
| Motherboard | Dell Inc. 091YVN |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12950HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1559
289.9 IPS |
|
|
Image Classification (HP)
|
100% |
2545
473.3 IPS |
|
|
Image Classification (Q)
|
99% |
3660
682.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3765
61.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4261
69.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4194
4.89 IPS |
|
|
Pose Estimation (HP)
|
99% |
3061
3.57 IPS |
|
|
Pose Estimation (Q)
|
97% |
12466
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
98% |
2248
178.9 IPS |
|
|
Object Detection (Q)
|
90% |
4104
328.1 IPS |
|
|
Face Detection (SP)
|
100% |
4897
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
7590
90.2 IPS |
|
|
Face Detection (Q)
|
100% |
10239
121.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4888
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8170
63.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
11730
93.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11033
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18902
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28804
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1954
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3198
118.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6428
238.0 IPS |
|
|
Text Classification (SP)
|
71% |
1061
1.53 KIPS |
|
|
Text Classification (HP)
|
71% |
1289
1.86 KIPS |
|
|
Text Classification (Q)
|
92% |
1311
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1617
27.9 IPS |
|
|
Machine Translation (Q)
|
89% |
2168
37.7 IPS |
