Dell Inc. Precision 7960 Tower
Geekbench AI Score
30575
Single Precision Score
43103
Half Precision Score
23878
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | September 15 2025 08:11 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% |
11497
2.14 KIPS |
|
|
Image Classification (HP)
|
99% |
15199
2.83 KIPS |
|
|
Image Classification (Q)
|
100% |
10015
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21896
355.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
27676
448.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
19631
319.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
235190
274.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
461463
538.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
206375
241.8 IPS |
|
|
Object Detection (SP)
|
100% |
14835
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
19984
1.59 KIPS |
|
|
Object Detection (Q)
|
85% |
13023
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
43285
514.3 IPS |
|
|
Face Detection (HP)
|
100% |
55655
661.3 IPS |
|
|
Face Detection (Q)
|
97% |
36756
438.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
78707
606.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
135776
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59885
478.3 IPS |
|
|
Style Transfer (SP)
|
100% |
376712
484.3 IPS |
|
|
Style Transfer (HP)
|
100% |
828080
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
336885
434.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46670
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58043
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35814
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
99% |
3439
4.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1854
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4648
80.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4569
79.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2316
43.4 IPS |
