Dell Inc. Precision 7960 Tower
Geekbench AI Score
4742
Single Precision Score
1421
Half Precision Score
7433
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | August 27 2025 07:47 PM |
| Views | 7 |
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% |
2929
544.6 IPS |
|
|
Image Classification (HP)
|
100% |
430
80.0 IPS |
|
|
Image Classification (Q)
|
99% |
4919
917.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1169
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
724
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12007
195.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20553
24.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7023
8.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
67001
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
3661
290.4 IPS |
|
|
Object Detection (HP)
|
100% |
583
46.3 IPS |
|
|
Object Detection (Q)
|
86% |
5958
478.9 IPS |
|
|
Face Detection (SP)
|
100% |
12132
144.1 IPS |
|
|
Face Detection (HP)
|
100% |
1303
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
7983
95.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13201
101.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1883
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17801
142.0 IPS |
|
|
Style Transfer (SP)
|
100% |
36899
47.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15352
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
28988
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3504
129.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2101
77.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4075
150.9 IPS |
|
|
Text Classification (SP)
|
100% |
877
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
498
664.7 IPS |
|
|
Text Classification (Q)
|
97% |
655
878.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (Q)
|
65% |
1986
39.9 IPS |
