Dell Inc. Precision 7960 Tower
Geekbench AI Score
31314
Single Precision Score
44662
Half Precision Score
24493
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | August 27 2025 01:44 AM |
| 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% |
11799
2.19 KIPS |
|
|
Image Classification (HP)
|
99% |
15927
2.97 KIPS |
|
|
Image Classification (Q)
|
100% |
10169
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22409
363.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
28226
457.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
20157
327.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
234213
273.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
463685
541.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
212164
248.6 IPS |
|
|
Object Detection (SP)
|
100% |
15543
1.23 KIPS |
|
|
Object Detection (HP)
|
100% |
20693
1.64 KIPS |
|
|
Object Detection (Q)
|
85% |
13425
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
44129
524.4 IPS |
|
|
Face Detection (HP)
|
100% |
56732
674.1 IPS |
|
|
Face Detection (Q)
|
97% |
37509
447.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
79517
612.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
136809
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60177
480.7 IPS |
|
|
Style Transfer (SP)
|
100% |
379494
487.8 IPS |
|
|
Style Transfer (HP)
|
100% |
849058
1.09 KIPS |
|
|
Style Transfer (Q)
|
98% |
338132
436.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50243
1.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65782
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38893
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
3620
4.83 KIPS |
|
|
Text Classification (Q)
|
97% |
1913
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4754
81.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4666
80.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2344
44.0 IPS |
