Dell Inc. Precision 5690
Geekbench AI Score
2427
Single Precision Score
1066
Half Precision Score
3091
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 03:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 165H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Precision 5690 |
| Motherboard | Dell Inc. 0CD7WC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1303
242.3 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.2 IPS |
|
|
Image Classification (Q)
|
99% |
2698
503.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
999
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2146
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4737
5.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3308
3.86 IPS |
|
|
Pose Estimation (Q)
|
95% |
17799
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
1605
127.3 IPS |
|
|
Object Detection (HP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
88% |
1458
116.9 IPS |
|
|
Face Detection (SP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
1291
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
3129
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5341
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1428
11.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
5527
44.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11605
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8199
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
16793
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2124
78.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1563
57.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2878
106.6 IPS |
|
|
Text Classification (SP)
|
100% |
1295
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
461
614.7 IPS |
|
|
Text Classification (Q)
|
97% |
414
554.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1374
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
425
7.32 IPS |
|
|
Machine Translation (Q)
|
60% |
1533
34.2 IPS |
