Dell Inc. Precision 7960 Tower
Geekbench AI Score
31061
Single Precision Score
44252
Half Precision Score
24461
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | August 28 2025 05:35 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% |
11641
2.16 KIPS |
|
|
Image Classification (HP)
|
99% |
15586
2.91 KIPS |
|
|
Image Classification (Q)
|
100% |
10301
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21961
356.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
27904
452.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
19866
323.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
237907
277.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
461533
538.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
210610
246.8 IPS |
|
|
Object Detection (SP)
|
100% |
15555
1.23 KIPS |
|
|
Object Detection (HP)
|
100% |
20829
1.65 KIPS |
|
|
Object Detection (Q)
|
85% |
13538
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
44230
525.6 IPS |
|
|
Face Detection (HP)
|
100% |
57482
683.0 IPS |
|
|
Face Detection (Q)
|
97% |
37483
446.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
79465
612.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
137825
1.06 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60338
482.0 IPS |
|
|
Style Transfer (SP)
|
100% |
378398
486.4 IPS |
|
|
Style Transfer (HP)
|
100% |
835740
1.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
337904
435.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47346
1.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62967
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38520
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
3022
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3625
4.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1917
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4644
80.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4558
78.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2330
43.7 IPS |
