Dell Inc. Precision 7960 Tower
Geekbench AI Score
4582
Single Precision Score
1474
Half Precision Score
7400
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | September 12 2025 01:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon w9-3495X |
| 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% |
2831
526.5 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.3 IPS |
|
|
Image Classification (Q)
|
99% |
4775
890.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1234
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12024
195.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19961
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7051
8.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
66709
78.2 IPS |
|
|
Object Detection (SP)
|
100% |
3503
277.8 IPS |
|
|
Object Detection (HP)
|
100% |
580
46.0 IPS |
|
|
Object Detection (Q)
|
86% |
5846
469.9 IPS |
|
|
Face Detection (SP)
|
100% |
11453
136.1 IPS |
|
|
Face Detection (HP)
|
100% |
1309
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
8035
95.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12374
95.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2059
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
18058
144.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35138
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17539
22.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29107
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3695
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2477
91.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3859
142.9 IPS |
|
|
Text Classification (SP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
453
605.2 IPS |
|
|
Text Classification (Q)
|
97% |
672
900.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1173
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2008
40.3 IPS |
