Dell Inc. Precision 7960 Tower
Geekbench AI Score
30594
Single Precision Score
43079
Half Precision Score
23912
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | September 10 2025 01:49 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% |
11646
2.17 KIPS |
|
|
Image Classification (HP)
|
99% |
15447
2.88 KIPS |
|
|
Image Classification (Q)
|
100% |
9976
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22044
357.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
28009
454.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
20004
325.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
232854
271.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
458582
535.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
204695
239.8 IPS |
|
|
Object Detection (SP)
|
100% |
14885
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
19429
1.54 KIPS |
|
|
Object Detection (Q)
|
85% |
12943
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
43275
514.2 IPS |
|
|
Face Detection (HP)
|
100% |
56617
672.7 IPS |
|
|
Face Detection (Q)
|
97% |
37472
446.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
78995
608.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
136465
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59880
478.3 IPS |
|
|
Style Transfer (SP)
|
100% |
383962
493.6 IPS |
|
|
Style Transfer (HP)
|
100% |
818729
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
331401
427.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45394
1.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57666
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35649
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
3454
4.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1872
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4651
80.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4533
78.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2330
43.7 IPS |
