Dell Inc. Precision 7960 Tower
Geekbench AI Score
31090
Single Precision Score
44008
Half Precision Score
24278
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | August 24 2025 04:34 PM |
| Views | 7 |
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% |
11854
2.20 KIPS |
|
|
Image Classification (HP)
|
99% |
15831
2.95 KIPS |
|
|
Image Classification (Q)
|
100% |
10391
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22060
357.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
27618
447.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
19899
323.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
238108
277.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
466200
544.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
210876
247.1 IPS |
|
|
Object Detection (SP)
|
100% |
15610
1.24 KIPS |
|
|
Object Detection (HP)
|
100% |
20827
1.65 KIPS |
|
|
Object Detection (Q)
|
85% |
13444
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
43954
522.3 IPS |
|
|
Face Detection (HP)
|
100% |
57540
683.7 IPS |
|
|
Face Detection (Q)
|
97% |
37278
444.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
79465
612.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
137092
1.06 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60367
482.2 IPS |
|
|
Style Transfer (SP)
|
100% |
383045
492.4 IPS |
|
|
Style Transfer (HP)
|
100% |
831968
1.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
334437
431.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45805
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58421
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35879
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3045
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3636
4.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1913
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4653
80.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4604
79.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2350
44.1 IPS |
