Dell Inc. Precision 7960 Tower
Geekbench AI Score
31359
Single Precision Score
44303
Half Precision Score
24409
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | September 13 2025 03:52 AM |
| 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% |
11694
2.17 KIPS |
|
|
Image Classification (HP)
|
99% |
15721
2.93 KIPS |
|
|
Image Classification (Q)
|
100% |
10302
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22320
361.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
28160
456.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20024
325.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
239627
279.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
465150
542.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
209817
245.8 IPS |
|
|
Object Detection (SP)
|
100% |
15721
1.25 KIPS |
|
|
Object Detection (HP)
|
100% |
20363
1.62 KIPS |
|
|
Object Detection (Q)
|
85% |
13531
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
43721
519.5 IPS |
|
|
Face Detection (HP)
|
100% |
56547
671.9 IPS |
|
|
Face Detection (Q)
|
97% |
37270
444.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
79509
612.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
137399
1.06 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60206
480.9 IPS |
|
|
Style Transfer (SP)
|
100% |
383827
493.4 IPS |
|
|
Style Transfer (HP)
|
100% |
843882
1.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
336996
434.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49503
1.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63962
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37820
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3581
4.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1914
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4714
81.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4626
79.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2342
43.9 IPS |
