Dell Inc. Precision 7960 Tower
Geekbench AI Score
4764
Single Precision Score
1471
Half Precision Score
7731
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | August 24 2025 04:04 PM |
| Views | 9 |
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% |
2921
543.3 IPS |
|
|
Image Classification (HP)
|
100% |
435
81.0 IPS |
|
|
Image Classification (Q)
|
99% |
4624
862.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
736
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12293
199.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20780
24.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
7456
8.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
65037
76.3 IPS |
|
|
Object Detection (SP)
|
100% |
3615
286.8 IPS |
|
|
Object Detection (HP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (Q)
|
86% |
6213
499.3 IPS |
|
|
Face Detection (SP)
|
100% |
11806
140.3 IPS |
|
|
Face Detection (HP)
|
100% |
1302
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
8771
104.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13272
102.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1898
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
17750
141.6 IPS |
|
|
Style Transfer (SP)
|
100% |
38781
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17245
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29355
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3668
135.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2100
77.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4561
168.9 IPS |
|
|
Text Classification (SP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
495
660.8 IPS |
|
|
Text Classification (Q)
|
97% |
722
967.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2207
44.4 IPS |
