Dell Inc. Precision 7960 Tower
Geekbench AI Score
4697
Single Precision Score
1418
Half Precision Score
7540
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | August 27 2025 01:41 AM |
| Views | 13 |
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% |
2937
546.2 IPS |
|
|
Image Classification (HP)
|
100% |
429
79.7 IPS |
|
|
Image Classification (Q)
|
99% |
4770
889.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
741
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11972
194.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20357
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6868
8.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
64329
75.4 IPS |
|
|
Object Detection (SP)
|
100% |
3418
271.1 IPS |
|
|
Object Detection (HP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (Q)
|
86% |
6085
489.1 IPS |
|
|
Face Detection (SP)
|
100% |
11770
139.9 IPS |
|
|
Face Detection (HP)
|
100% |
1235
14.7 IPS |
|
|
Face Detection (Q)
|
97% |
7836
93.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13099
100.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1880
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17518
139.8 IPS |
|
|
Style Transfer (SP)
|
100% |
38206
49.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16062
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30182
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3425
126.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2158
79.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4590
170.0 IPS |
|
|
Text Classification (SP)
|
100% |
827
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
487
649.7 IPS |
|
|
Text Classification (Q)
|
97% |
696
931.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1258
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2008
40.4 IPS |
