Dell Inc. Precision 7960 Tower
Geekbench AI Score
31474
Single Precision Score
44158
Half Precision Score
24292
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | August 27 2025 07:53 PM |
| Views | 9 |
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% |
11814
2.20 KIPS |
|
|
Image Classification (HP)
|
99% |
15395
2.87 KIPS |
|
|
Image Classification (Q)
|
100% |
10228
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22337
362.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
28136
456.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20208
328.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
242074
282.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
464419
541.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
208716
244.5 IPS |
|
|
Object Detection (SP)
|
100% |
15963
1.27 KIPS |
|
|
Object Detection (HP)
|
100% |
20949
1.66 KIPS |
|
|
Object Detection (Q)
|
85% |
13475
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
44392
527.5 IPS |
|
|
Face Detection (HP)
|
100% |
56098
666.6 IPS |
|
|
Face Detection (Q)
|
97% |
36946
440.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
79599
613.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
137602
1.06 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59944
478.8 IPS |
|
|
Style Transfer (SP)
|
100% |
384780
494.6 IPS |
|
|
Style Transfer (HP)
|
100% |
827984
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
334562
431.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50043
1.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65773
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38054
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
3488
4.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1864
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4658
80.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4563
78.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2343
43.9 IPS |
