Dell Inc. Precision 7960 Tower
Geekbench AI Score
30797
Single Precision Score
43376
Half Precision Score
24099
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | August 29 2025 08:41 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% |
11551
2.15 KIPS |
|
|
Image Classification (HP)
|
99% |
15246
2.84 KIPS |
|
|
Image Classification (Q)
|
100% |
10215
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21757
352.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
27760
450.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
20015
325.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
234853
274.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
461841
538.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
210656
246.8 IPS |
|
|
Object Detection (SP)
|
100% |
15484
1.23 KIPS |
|
|
Object Detection (HP)
|
100% |
20366
1.62 KIPS |
|
|
Object Detection (Q)
|
85% |
13203
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
43194
513.2 IPS |
|
|
Face Detection (HP)
|
100% |
55560
660.2 IPS |
|
|
Face Detection (Q)
|
97% |
36507
435.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
79474
612.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
135631
1.04 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59982
479.1 IPS |
|
|
Style Transfer (SP)
|
100% |
380301
488.9 IPS |
|
|
Style Transfer (HP)
|
100% |
830955
1.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
339243
437.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45858
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57947
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36016
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3009
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3575
4.77 KIPS |
|
|
Text Classification (Q)
|
97% |
1859
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4663
80.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4566
78.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2336
43.8 IPS |
