Dell Inc. Precision 7960 Tower
Geekbench AI Score
31316
Single Precision Score
44528
Half Precision Score
24444
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | September 10 2025 01:47 AM |
| Views | 2 |
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% |
11739
2.18 KIPS |
|
|
Image Classification (HP)
|
99% |
15811
2.95 KIPS |
|
|
Image Classification (Q)
|
100% |
10359
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22337
362.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
28613
463.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20192
328.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
236442
275.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
466499
544.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
207826
243.5 IPS |
|
|
Object Detection (SP)
|
100% |
15414
1.22 KIPS |
|
|
Object Detection (HP)
|
100% |
20597
1.63 KIPS |
|
|
Object Detection (Q)
|
85% |
13553
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
44178
524.9 IPS |
|
|
Face Detection (HP)
|
100% |
57383
681.8 IPS |
|
|
Face Detection (Q)
|
97% |
37561
447.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
79383
611.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
137423
1.06 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59992
479.2 IPS |
|
|
Style Transfer (SP)
|
100% |
382932
492.3 IPS |
|
|
Style Transfer (HP)
|
100% |
831417
1.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
336533
433.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50436
1.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66547
2.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38737
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
3440
4.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1863
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4778
82.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4697
81.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2363
44.3 IPS |
