Dell Inc. Precision 7960 Tower
Geekbench AI Score
4525
Single Precision Score
1442
Half Precision Score
7468
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | August 30 2025 10:49 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% |
2853
530.5 IPS |
|
|
Image Classification (HP)
|
100% |
436
81.1 IPS |
|
|
Image Classification (Q)
|
99% |
4896
913.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
725
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12537
203.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20523
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
6960
8.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
65770
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
3232
256.3 IPS |
|
|
Object Detection (HP)
|
100% |
569
45.1 IPS |
|
|
Object Detection (Q)
|
86% |
5922
475.9 IPS |
|
|
Face Detection (SP)
|
100% |
11351
134.9 IPS |
|
|
Face Detection (HP)
|
100% |
1305
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
7789
92.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12328
95.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1980
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
17396
138.8 IPS |
|
|
Style Transfer (SP)
|
100% |
35108
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15527
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29330
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3392
125.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2245
82.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4010
148.5 IPS |
|
|
Text Classification (SP)
|
100% |
804
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
501
668.7 IPS |
|
|
Text Classification (Q)
|
97% |
689
922.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2057
41.3 IPS |
