Dell Inc. Precision 7960 Tower
Geekbench AI Score
5195
Single Precision Score
3985
Half Precision Score
13600
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | September 12 2025 01:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) 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% |
2561
476.2 IPS |
|
|
Image Classification (HP)
|
100% |
2802
521.1 IPS |
|
|
Image Classification (Q)
|
100% |
6914
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4867
78.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11128
180.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11995
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9531
11.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
89244
104.5 IPS |
|
|
Object Detection (SP)
|
100% |
2842
225.4 IPS |
|
|
Object Detection (HP)
|
100% |
2849
226.0 IPS |
|
|
Object Detection (Q)
|
88% |
6802
545.3 IPS |
|
|
Face Detection (SP)
|
100% |
9655
114.7 IPS |
|
|
Face Detection (HP)
|
100% |
8531
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
19253
228.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8473
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7332
56.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
21163
164.7 IPS |
|
|
Style Transfer (SP)
|
100% |
34343
44.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22449
28.9 IPS |
|
|
Style Transfer (Q)
|
98% |
210849
271.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4461
164.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3279
121.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13192
488.5 IPS |
|
|
Text Classification (SP)
|
100% |
1045
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
656
875.9 IPS |
|
|
Text Classification (Q)
|
92% |
1774
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2575
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2212
38.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2306
39.7 IPS |
