Dell Inc. Precision 7960 Tower
Geekbench AI Score
31130
Single Precision Score
44005
Half Precision Score
24139
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | September 11 2025 06:08 PM |
| 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% |
11806
2.20 KIPS |
|
|
Image Classification (HP)
|
99% |
15775
2.94 KIPS |
|
|
Image Classification (Q)
|
100% |
10310
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21942
355.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
28020
454.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
20051
326.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
241539
281.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
464999
542.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
211098
247.3 IPS |
|
|
Object Detection (SP)
|
100% |
15916
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
20785
1.65 KIPS |
|
|
Object Detection (Q)
|
85% |
13624
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
44089
523.9 IPS |
|
|
Face Detection (HP)
|
100% |
57570
684.1 IPS |
|
|
Face Detection (Q)
|
97% |
35462
422.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
79374
611.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
138356
1.07 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60060
479.7 IPS |
|
|
Style Transfer (SP)
|
100% |
380391
489.0 IPS |
|
|
Style Transfer (HP)
|
100% |
837666
1.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
335928
433.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46761
1.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57789
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35561
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
3570
4.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1897
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4700
81.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4631
80.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2341
43.9 IPS |
