Dell Inc. Precision 7960 Tower
Geekbench AI Score
4654
Single Precision Score
1447
Half Precision Score
7417
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | August 24 2025 04:26 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% |
3054
567.9 IPS |
|
|
Image Classification (HP)
|
100% |
440
81.9 IPS |
|
|
Image Classification (Q)
|
99% |
4456
831.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1194
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
758
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12308
200.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20673
24.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
7227
8.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
67449
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
3378
268.0 IPS |
|
|
Object Detection (HP)
|
100% |
554
43.9 IPS |
|
|
Object Detection (Q)
|
86% |
6185
497.0 IPS |
|
|
Face Detection (SP)
|
100% |
12066
143.4 IPS |
|
|
Face Detection (HP)
|
100% |
1308
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
8692
103.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14210
109.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1914
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
17820
142.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35015
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16697
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28487
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3421
126.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2189
80.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3748
138.8 IPS |
|
|
Text Classification (SP)
|
100% |
742
990.5 IPS |
|
|
Text Classification (HP)
|
100% |
462
616.9 IPS |
|
|
Text Classification (Q)
|
97% |
654
876.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1230
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
717
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2037
40.9 IPS |
