Dell Inc. Precision 3490
Geekbench AI Score
2648
Single Precision Score
1166
Half Precision Score
3978
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 09:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 165H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 3490 |
| Motherboard | Dell Inc. 0YY8C9 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1705
317.0 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
99% |
3223
601.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3158
51.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5364
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
3225
3.76 IPS |
|
|
Pose Estimation (Q)
|
95% |
18214
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
1624
128.8 IPS |
|
|
Object Detection (HP)
|
100% |
480
38.1 IPS |
|
|
Object Detection (Q)
|
88% |
1510
121.0 IPS |
|
|
Face Detection (SP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
1151
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
3755
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5549
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1607
12.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
6636
53.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10452
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8052
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16690
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2190
80.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1553
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3273
121.2 IPS |
|
|
Text Classification (SP)
|
100% |
1206
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
527
703.8 IPS |
|
|
Text Classification (Q)
|
97% |
1312
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1646
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
548
9.44 IPS |
|
|
Machine Translation (Q)
|
60% |
1987
44.3 IPS |
