Dell Inc. Precision 7960 Tower
Geekbench AI Score
31000
Single Precision Score
43459
Half Precision Score
24158
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | August 30 2025 10:38 PM |
| Views | 2 |
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% |
11818
2.20 KIPS |
|
|
Image Classification (HP)
|
99% |
15668
2.92 KIPS |
|
|
Image Classification (Q)
|
100% |
10264
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21963
356.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
27792
450.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19905
323.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
239296
279.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
463625
541.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
206706
242.2 IPS |
|
|
Object Detection (SP)
|
100% |
15663
1.24 KIPS |
|
|
Object Detection (HP)
|
100% |
20081
1.59 KIPS |
|
|
Object Detection (Q)
|
85% |
13369
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
43257
514.0 IPS |
|
|
Face Detection (HP)
|
100% |
56080
666.4 IPS |
|
|
Face Detection (Q)
|
97% |
36859
439.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
78639
605.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
134737
1.04 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59826
477.9 IPS |
|
|
Style Transfer (SP)
|
100% |
383981
493.6 IPS |
|
|
Style Transfer (HP)
|
100% |
825549
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
336271
433.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45663
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57526
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36168
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
3012
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3602
4.81 KIPS |
|
|
Text Classification (Q)
|
97% |
1915
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4690
80.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4587
79.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2335
43.8 IPS |
