Dell Inc. Precision 5690
Geekbench AI Score
8960
Single Precision Score
13108
Half Precision Score
18993
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 01:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5778
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
8043
1.50 KIPS |
|
|
Image Classification (Q)
|
100% |
8755
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5072
82.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11999
194.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16357
265.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
25943
30.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
22939
26.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
77420
90.6 IPS |
|
|
Object Detection (SP)
|
100% |
5578
442.5 IPS |
|
|
Object Detection (HP)
|
100% |
8303
658.6 IPS |
|
|
Object Detection (Q)
|
88% |
11353
909.8 IPS |
|
|
Face Detection (SP)
|
100% |
10949
130.1 IPS |
|
|
Face Detection (HP)
|
100% |
21348
253.7 IPS |
|
|
Face Detection (Q)
|
100% |
33227
394.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21149
162.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
35337
273.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
40167
312.2 IPS |
|
|
Style Transfer (SP)
|
100% |
61740
79.4 IPS |
|
|
Style Transfer (HP)
|
100% |
74929
96.3 IPS |
|
|
Style Transfer (Q)
|
98% |
176070
227.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10213
377.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16654
615.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23391
866.2 IPS |
|
|
Text Classification (SP)
|
71% |
2098
3.03 KIPS |
|
|
Text Classification (HP)
|
71% |
2734
3.95 KIPS |
|
|
Text Classification (Q)
|
92% |
2834
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2568
44.2 IPS |
|
|
Machine Translation (HP)
|
96% |
3167
54.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3117
53.7 IPS |
