Dell Inc. Precision 7960 Tower
Geekbench AI Score
18928
Single Precision Score
28415
Half Precision Score
12206
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 02:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A5000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision 7960 Tower |
| Motherboard | Dell Inc. 01G0M6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) w5-3433 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7761
1.44 KIPS |
|
|
Image Classification (HP)
|
99% |
9890
1.84 KIPS |
|
|
Image Classification (Q)
|
100% |
5286
983.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
14558
236.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20949
339.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10770
175.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
113531
132.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
279243
325.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
89156
104.5 IPS |
|
|
Object Detection (SP)
|
100% |
9526
755.6 IPS |
|
|
Object Detection (HP)
|
100% |
13670
1.08 KIPS |
|
|
Object Detection (Q)
|
85% |
6989
562.2 IPS |
|
|
Face Detection (SP)
|
100% |
25176
299.1 IPS |
|
|
Face Detection (HP)
|
100% |
34870
414.3 IPS |
|
|
Face Detection (Q)
|
97% |
17812
212.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
49199
379.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
85293
657.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
31437
251.4 IPS |
|
|
Style Transfer (SP)
|
100% |
206931
266.0 IPS |
|
|
Style Transfer (HP)
|
100% |
496245
637.9 IPS |
|
|
Style Transfer (Q)
|
98% |
156129
201.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28383
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
34976
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16581
614.0 IPS |
|
|
Text Classification (SP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3000
4.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1215
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2835
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2802
48.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1175
22.0 IPS |
