Dell Inc. Precision 7960 Tower
Geekbench AI Score
31014
Single Precision Score
44440
Half Precision Score
24452
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | August 28 2025 05:34 PM |
| Views | 5 |
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% |
11718
2.18 KIPS |
|
|
Image Classification (HP)
|
99% |
15603
2.91 KIPS |
|
|
Image Classification (Q)
|
100% |
10272
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22245
360.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
28036
454.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19960
324.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
233431
272.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
465188
542.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
209011
244.9 IPS |
|
|
Object Detection (SP)
|
100% |
15596
1.24 KIPS |
|
|
Object Detection (HP)
|
100% |
20664
1.64 KIPS |
|
|
Object Detection (Q)
|
85% |
13452
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
43731
519.6 IPS |
|
|
Face Detection (HP)
|
100% |
57563
684.0 IPS |
|
|
Face Detection (Q)
|
97% |
37508
447.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
79737
614.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
137354
1.06 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60221
481.0 IPS |
|
|
Style Transfer (SP)
|
100% |
380307
488.9 IPS |
|
|
Style Transfer (HP)
|
100% |
835274
1.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
339977
438.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46417
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66033
2.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38362
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3612
4.82 KIPS |
|
|
Text Classification (Q)
|
97% |
1918
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4661
80.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4536
78.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2346
44.0 IPS |
