Dell Inc. Precision 7960 Tower
Geekbench AI Score
4761
Single Precision Score
1467
Half Precision Score
7608
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | August 28 2025 05:24 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% |
2953
549.2 IPS |
|
|
Image Classification (HP)
|
100% |
428
79.6 IPS |
|
|
Image Classification (Q)
|
99% |
4851
904.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1237
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
763
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11687
190.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
21280
24.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
8088
9.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
65372
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
3517
279.0 IPS |
|
|
Object Detection (HP)
|
100% |
611
48.4 IPS |
|
|
Object Detection (Q)
|
86% |
6141
493.6 IPS |
|
|
Face Detection (SP)
|
100% |
12224
145.3 IPS |
|
|
Face Detection (HP)
|
100% |
1263
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
8573
102.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13729
105.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2016
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17789
141.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35192
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15720
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29998
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3588
132.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2068
76.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4721
174.8 IPS |
|
|
Text Classification (SP)
|
100% |
843
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
500
667.2 IPS |
|
|
Text Classification (Q)
|
97% |
670
897.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1227
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
1974
39.7 IPS |
