Dell Inc. Precision 7960 Tower
Geekbench AI Score
4610
Single Precision Score
1439
Half Precision Score
7370
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | September 16 2025 07:46 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% |
2847
529.4 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.7 IPS |
|
|
Image Classification (Q)
|
99% |
4766
888.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1222
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
749
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11824
192.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21306
24.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7789
9.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
63962
75.0 IPS |
|
|
Object Detection (SP)
|
100% |
3473
275.5 IPS |
|
|
Object Detection (HP)
|
100% |
577
45.7 IPS |
|
|
Object Detection (Q)
|
86% |
5692
457.5 IPS |
|
|
Face Detection (SP)
|
100% |
11871
141.1 IPS |
|
|
Face Detection (HP)
|
100% |
1332
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
7721
92.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12705
97.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1904
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
17469
139.4 IPS |
|
|
Style Transfer (SP)
|
100% |
38188
49.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14248
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28893
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3194
117.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2285
84.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4302
159.3 IPS |
|
|
Text Classification (SP)
|
100% |
790
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
480
640.3 IPS |
|
|
Text Classification (Q)
|
97% |
680
910.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2024
40.7 IPS |
