Dell Inc. Precision 7960 Tower
Geekbench AI Score
31118
Single Precision Score
44169
Half Precision Score
24204
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | September 15 2025 08:07 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% |
11386
2.12 KIPS |
|
|
Image Classification (HP)
|
99% |
15446
2.88 KIPS |
|
|
Image Classification (Q)
|
100% |
9994
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22079
357.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
28327
459.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19930
324.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
235818
275.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
465211
542.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
208094
243.8 IPS |
|
|
Object Detection (SP)
|
100% |
15427
1.22 KIPS |
|
|
Object Detection (HP)
|
100% |
19975
1.58 KIPS |
|
|
Object Detection (Q)
|
85% |
12980
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
44081
523.8 IPS |
|
|
Face Detection (HP)
|
100% |
56859
675.6 IPS |
|
|
Face Detection (Q)
|
97% |
36979
440.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
79312
611.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
136571
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60341
482.0 IPS |
|
|
Style Transfer (SP)
|
100% |
378122
486.1 IPS |
|
|
Style Transfer (HP)
|
100% |
836082
1.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
333078
429.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50732
1.87 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64729
2.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39017
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
3525
4.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1892
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4693
80.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4693
81.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2338
43.8 IPS |
