Dell Inc. Precision 7960 Tower
Geekbench AI Score
4486
Single Precision Score
1367
Half Precision Score
7187
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | August 30 2025 10:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon w9-3495X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision 7960 Tower |
| Motherboard | Dell Inc. 01G0M6 |
| CPU Information | |
|---|---|
| Name | Intel Xeon w9-3495X |
| Topology | 1 Processor, 56 Cores, 112 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2824
525.2 IPS |
|
|
Image Classification (HP)
|
100% |
420
78.1 IPS |
|
|
Image Classification (Q)
|
99% |
4776
890.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1191
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11712
190.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19595
22.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
6797
7.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
61000
71.5 IPS |
|
|
Object Detection (SP)
|
100% |
3103
246.1 IPS |
|
|
Object Detection (HP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (Q)
|
86% |
6001
482.3 IPS |
|
|
Face Detection (SP)
|
100% |
11164
132.7 IPS |
|
|
Face Detection (HP)
|
100% |
1168
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
7980
95.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13152
101.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1829
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
16771
133.8 IPS |
|
|
Style Transfer (SP)
|
100% |
37583
48.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14806
19.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28617
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3347
123.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2141
79.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3891
144.1 IPS |
|
|
Text Classification (SP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
439
586.0 IPS |
|
|
Text Classification (Q)
|
97% |
686
918.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
1758
35.3 IPS |
