Dell Inc. Precision 7960 Tower
Geekbench AI Score
4678
Single Precision Score
1438
Half Precision Score
7434
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | September 11 2025 06:03 PM |
| Views | 4 |
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% |
2935
545.8 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.1 IPS |
|
|
Image Classification (Q)
|
99% |
4840
902.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11293
183.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
21175
24.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7100
8.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
62057
72.8 IPS |
|
|
Object Detection (SP)
|
100% |
3397
269.5 IPS |
|
|
Object Detection (HP)
|
100% |
601
47.7 IPS |
|
|
Object Detection (Q)
|
86% |
6240
501.5 IPS |
|
|
Face Detection (SP)
|
100% |
12138
144.2 IPS |
|
|
Face Detection (HP)
|
100% |
1328
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
7586
90.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12134
93.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1858
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
16909
134.9 IPS |
|
|
Style Transfer (SP)
|
100% |
38269
49.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17357
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28564
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3331
123.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2062
76.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4624
171.2 IPS |
|
|
Text Classification (SP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
483
645.1 IPS |
|
|
Text Classification (Q)
|
97% |
682
914.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2110
42.4 IPS |
