Dell Inc. Precision 3490
Geekbench AI Score
2720
Single Precision Score
1158
Half Precision Score
3915
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 09:35 PM |
| Views | 4 |
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% |
1699
316.0 IPS |
|
|
Image Classification (HP)
|
100% |
453
84.2 IPS |
|
|
Image Classification (Q)
|
99% |
3225
601.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
937
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3158
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5371
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3447
4.02 IPS |
|
|
Pose Estimation (Q)
|
95% |
17537
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
1656
131.3 IPS |
|
|
Object Detection (HP)
|
100% |
476
37.8 IPS |
|
|
Object Detection (Q)
|
88% |
1411
113.1 IPS |
|
|
Face Detection (SP)
|
100% |
3102
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
1242
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
3580
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5875
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1554
12.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
6989
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12100
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8117
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17260
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2055
75.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3260
120.7 IPS |
|
|
Text Classification (SP)
|
100% |
1199
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
493
657.8 IPS |
|
|
Text Classification (Q)
|
97% |
1306
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1690
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
527
9.08 IPS |
|
|
Machine Translation (Q)
|
60% |
1830
40.8 IPS |
