Dell Inc. Precision 7960 Tower
Geekbench AI Score
4772
Single Precision Score
1435
Half Precision Score
7625
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | August 29 2025 08:39 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% |
2922
543.3 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.4 IPS |
|
|
Image Classification (Q)
|
99% |
4778
891.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12628
205.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21010
24.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7175
8.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
66074
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
3496
277.3 IPS |
|
|
Object Detection (HP)
|
100% |
607
48.1 IPS |
|
|
Object Detection (Q)
|
86% |
6071
487.9 IPS |
|
|
Face Detection (SP)
|
100% |
12026
142.9 IPS |
|
|
Face Detection (HP)
|
100% |
1305
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
8316
99.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12383
95.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1832
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
18123
144.6 IPS |
|
|
Style Transfer (SP)
|
100% |
37993
48.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15029
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29239
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3794
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2206
81.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4180
154.8 IPS |
|
|
Text Classification (SP)
|
100% |
863
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
484
645.6 IPS |
|
|
Text Classification (Q)
|
97% |
679
909.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1238
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2196
44.1 IPS |
