Dell Inc. Precision 7680
Geekbench AI Score
3381
Single Precision Score
1079
Half Precision Score
4261
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sitnets |
| Upload Date | February 21 2025 09:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13950HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 7680 |
| Motherboard | Dell Inc. 07W26F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13950HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2678
498.0 IPS |
|
|
Image Classification (HP)
|
100% |
371
69.1 IPS |
|
|
Image Classification (Q)
|
99% |
4137
771.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1111
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
597
9.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
2216
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7583
8.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3281
3.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
21221
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
2711
215.0 IPS |
|
|
Object Detection (HP)
|
100% |
486
38.5 IPS |
|
|
Object Detection (Q)
|
86% |
3816
306.7 IPS |
|
|
Face Detection (SP)
|
100% |
7535
89.5 IPS |
|
|
Face Detection (HP)
|
100% |
1158
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
6471
77.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8334
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1486
11.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10955
87.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15168
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8209
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19650
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2494
92.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1562
57.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3187
118.0 IPS |
|
|
Text Classification (SP)
|
100% |
1057
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
522
697.3 IPS |
|
|
Text Classification (Q)
|
97% |
333
445.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1271
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
529
9.12 IPS |
|
|
Machine Translation (Q)
|
65% |
1799
36.2 IPS |
