Dell Inc. Precision 7960 Tower
Geekbench AI Score
31817
Single Precision Score
45032
Half Precision Score
24638
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | August 24 2025 04:11 PM |
| Views | 11 |
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% |
11752
2.19 KIPS |
|
|
Image Classification (HP)
|
99% |
15875
2.96 KIPS |
|
|
Image Classification (Q)
|
100% |
10366
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22250
360.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
28173
456.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
20011
325.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
241392
281.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
465398
543.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
210441
246.6 IPS |
|
|
Object Detection (SP)
|
100% |
16028
1.27 KIPS |
|
|
Object Detection (HP)
|
100% |
20983
1.66 KIPS |
|
|
Object Detection (Q)
|
85% |
13626
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
44900
533.5 IPS |
|
|
Face Detection (HP)
|
100% |
58143
690.9 IPS |
|
|
Face Detection (Q)
|
97% |
37861
451.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
79694
614.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
138765
1.07 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60509
483.3 IPS |
|
|
Style Transfer (SP)
|
100% |
381988
491.1 IPS |
|
|
Style Transfer (HP)
|
100% |
848345
1.09 KIPS |
|
|
Style Transfer (Q)
|
98% |
342005
441.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51500
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68072
2.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39155
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
3115
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
3584
4.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1907
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4793
82.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4703
81.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2369
44.4 IPS |
