Dell Inc. Precision 7960 Tower
Geekbench AI Score
30874
Single Precision Score
43291
Half Precision Score
24159
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | September 12 2025 01:08 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 5000 Ada Generation |
| 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% |
11811
2.20 KIPS |
|
|
Image Classification (HP)
|
99% |
15691
2.93 KIPS |
|
|
Image Classification (Q)
|
100% |
10369
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22033
357.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
27910
452.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19771
321.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
238024
277.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
462252
539.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
210908
247.1 IPS |
|
|
Object Detection (SP)
|
100% |
15476
1.23 KIPS |
|
|
Object Detection (HP)
|
100% |
19207
1.52 KIPS |
|
|
Object Detection (Q)
|
85% |
13201
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
43521
517.1 IPS |
|
|
Face Detection (HP)
|
100% |
56351
669.6 IPS |
|
|
Face Detection (Q)
|
97% |
37155
443.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
79376
611.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
136245
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59713
477.0 IPS |
|
|
Style Transfer (SP)
|
100% |
377634
485.5 IPS |
|
|
Style Transfer (HP)
|
100% |
817318
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
333620
430.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45647
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57986
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35861
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3040
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3568
4.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1916
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4536
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4581
79.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2334
43.8 IPS |
