Dell Inc. Precision 7960 Tower
Geekbench AI Score
30990
Single Precision Score
43821
Half Precision Score
24339
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | September 16 2025 07:50 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% |
11738
2.18 KIPS |
|
|
Image Classification (HP)
|
99% |
15523
2.90 KIPS |
|
|
Image Classification (Q)
|
100% |
10393
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21688
351.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
28167
456.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
19939
324.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
238526
278.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
468604
546.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
213273
249.9 IPS |
|
|
Object Detection (SP)
|
100% |
15544
1.23 KIPS |
|
|
Object Detection (HP)
|
100% |
20185
1.60 KIPS |
|
|
Object Detection (Q)
|
85% |
13193
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
43251
513.9 IPS |
|
|
Face Detection (HP)
|
100% |
57445
682.6 IPS |
|
|
Face Detection (Q)
|
97% |
37358
445.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
79942
615.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
136737
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60435
482.7 IPS |
|
|
Style Transfer (SP)
|
100% |
384015
493.7 IPS |
|
|
Style Transfer (HP)
|
100% |
841053
1.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
338812
436.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46045
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57923
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35850
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3015
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3579
4.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1934
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4696
80.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4611
79.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2359
44.2 IPS |
