Dell Inc. Precision 3660
Geekbench AI Score
22622
Single Precision Score
32312
Half Precision Score
17435
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Skettalee |
| Upload Date | August 16 2024 01:10 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 3660 |
| Motherboard | Dell Inc. 0N0992 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9167
1.70 KIPS |
|
|
Image Classification (HP)
|
99% |
13277
2.48 KIPS |
|
|
Image Classification (Q)
|
100% |
8074
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12854
208.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14743
239.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11873
193.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
143729
167.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
322182
375.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
129200
151.3 IPS |
|
|
Object Detection (SP)
|
100% |
11088
879.5 IPS |
|
|
Object Detection (HP)
|
100% |
15973
1.27 KIPS |
|
|
Object Detection (Q)
|
88% |
9591
769.1 IPS |
|
|
Face Detection (SP)
|
100% |
25223
299.7 IPS |
|
|
Face Detection (HP)
|
100% |
33460
397.6 IPS |
|
|
Face Detection (Q)
|
97% |
21346
254.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
57446
442.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95406
735.0 IPS |
|
|
Depth Estimation (Q)
|
70% |
42912
359.2 IPS |
|
|
Style Transfer (SP)
|
100% |
255852
328.9 IPS |
|
|
Style Transfer (HP)
|
100% |
534918
687.6 IPS |
|
|
Style Transfer (Q)
|
98% |
223091
287.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43362
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50622
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31170
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
99% |
4072
5.44 KIPS |
|
|
Text Classification (Q)
|
97% |
2102
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3499
60.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1632
36.4 IPS |
