Dell Inc. Precision 7960 Tower
Geekbench AI Score
5980
Single Precision Score
4640
Half Precision Score
15840
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | August 29 2025 08:44 PM |
| 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% |
2979
553.9 IPS |
|
|
Image Classification (HP)
|
100% |
3102
576.8 IPS |
|
|
Image Classification (Q)
|
100% |
7758
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5536
89.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2573
41.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16211
262.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13794
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10363
12.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
91161
106.8 IPS |
|
|
Object Detection (SP)
|
100% |
2785
220.9 IPS |
|
|
Object Detection (HP)
|
100% |
3056
242.4 IPS |
|
|
Object Detection (Q)
|
88% |
7381
591.7 IPS |
|
|
Face Detection (SP)
|
100% |
12007
142.7 IPS |
|
|
Face Detection (HP)
|
100% |
8967
106.5 IPS |
|
|
Face Detection (Q)
|
100% |
22862
271.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10261
79.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8027
61.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
26816
208.7 IPS |
|
|
Style Transfer (SP)
|
100% |
37030
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25279
32.5 IPS |
|
|
Style Transfer (Q)
|
98% |
232248
299.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5222
192.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4222
155.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13937
516.2 IPS |
|
|
Text Classification (SP)
|
100% |
1435
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (Q)
|
92% |
1931
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2704
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2776
47.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3068
52.9 IPS |
