Dell Inc. Precision 7960 Tower
Geekbench AI Score
4713
Single Precision Score
1454
Half Precision Score
7429
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | September 11 2025 06:01 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% |
2777
516.4 IPS |
|
|
Image Classification (HP)
|
100% |
436
81.0 IPS |
|
|
Image Classification (Q)
|
99% |
4863
907.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
774
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11965
194.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19879
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
7651
8.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
61355
71.9 IPS |
|
|
Object Detection (SP)
|
100% |
3509
278.3 IPS |
|
|
Object Detection (HP)
|
100% |
587
46.6 IPS |
|
|
Object Detection (Q)
|
86% |
6096
489.9 IPS |
|
|
Face Detection (SP)
|
100% |
12539
149.0 IPS |
|
|
Face Detection (HP)
|
100% |
1275
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
7966
95.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12937
99.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1874
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
16424
131.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38835
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13739
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29188
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3800
140.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2545
94.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4130
152.9 IPS |
|
|
Text Classification (SP)
|
100% |
783
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
490
653.9 IPS |
|
|
Text Classification (Q)
|
97% |
724
969.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1175
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2063
41.5 IPS |
