Dell Inc. Precision 7960 Tower
Geekbench AI Score
30854
Single Precision Score
43590
Half Precision Score
24150
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | August 24 2025 04:18 PM |
| Views | 8 |
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% |
11595
2.16 KIPS |
|
|
Image Classification (HP)
|
99% |
15264
2.85 KIPS |
|
|
Image Classification (Q)
|
100% |
9999
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21688
351.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
28085
455.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
20025
325.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
239133
279.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
459918
536.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
206097
241.5 IPS |
|
|
Object Detection (SP)
|
100% |
15157
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
20004
1.59 KIPS |
|
|
Object Detection (Q)
|
85% |
13358
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
43090
512.0 IPS |
|
|
Face Detection (HP)
|
100% |
56208
667.9 IPS |
|
|
Face Detection (Q)
|
97% |
37051
441.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
79119
609.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
138055
1.06 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60356
482.1 IPS |
|
|
Style Transfer (SP)
|
100% |
383541
493.0 IPS |
|
|
Style Transfer (HP)
|
100% |
835543
1.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
336549
434.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45929
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57892
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35889
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3047
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3631
4.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1925
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4689
80.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4608
79.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2355
44.2 IPS |
