Dell Inc. Precision 7960 Tower
Geekbench AI Score
31062
Single Precision Score
43744
Half Precision Score
24209
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | August 28 2025 05:32 PM |
| Views | 4 |
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% |
11831
2.20 KIPS |
|
|
Image Classification (HP)
|
99% |
15761
2.94 KIPS |
|
|
Image Classification (Q)
|
100% |
10321
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21869
354.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
28001
453.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19651
319.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
237491
277.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
467163
545.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
207192
242.8 IPS |
|
|
Object Detection (SP)
|
100% |
15736
1.25 KIPS |
|
|
Object Detection (HP)
|
100% |
20222
1.60 KIPS |
|
|
Object Detection (Q)
|
85% |
13376
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
43945
522.2 IPS |
|
|
Face Detection (HP)
|
100% |
57037
677.7 IPS |
|
|
Face Detection (Q)
|
97% |
37228
443.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
79542
612.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
137169
1.06 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60192
480.8 IPS |
|
|
Style Transfer (SP)
|
100% |
380168
488.7 IPS |
|
|
Style Transfer (HP)
|
100% |
818927
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
341855
440.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45702
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58006
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36036
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3031
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3618
4.83 KIPS |
|
|
Text Classification (Q)
|
97% |
1911
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4698
80.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4577
79.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2332
43.7 IPS |
