Dell Inc. Precision 5860 Tower
Geekbench AI Score
15084
Single Precision Score
24009
Half Precision Score
9866
Quantized Score
Geekbench AI 1.5.0 Corporate for Windows AVX2
Result Information
| Upload Date | September 02 2025 08:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A4000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision 5860 Tower |
| Motherboard | Dell Inc. 0F4Y1M |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon w7-2495X |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5888
1.09 KIPS |
|
|
Image Classification (HP)
|
99% |
8893
1.66 KIPS |
|
|
Image Classification (Q)
|
100% |
4337
806.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9840
159.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14656
237.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7603
123.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
85472
99.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
229434
267.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
71251
83.5 IPS |
|
|
Object Detection (SP)
|
100% |
7546
598.5 IPS |
|
|
Object Detection (HP)
|
100% |
12108
960.4 IPS |
|
|
Object Detection (Q)
|
85% |
5458
439.4 IPS |
|
|
Face Detection (SP)
|
100% |
16887
200.7 IPS |
|
|
Face Detection (HP)
|
100% |
28436
337.9 IPS |
|
|
Face Detection (Q)
|
97% |
12353
147.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
40581
312.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
67513
520.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
27396
219.4 IPS |
|
|
Style Transfer (SP)
|
100% |
136095
175.0 IPS |
|
|
Style Transfer (HP)
|
100% |
331939
426.7 IPS |
|
|
Style Transfer (Q)
|
98% |
109831
141.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24328
898.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31443
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14513
537.4 IPS |
|
|
Text Classification (SP)
|
100% |
2171
2.90 KIPS |
|
|
Text Classification (HP)
|
99% |
2866
3.82 KIPS |
|
|
Text Classification (Q)
|
97% |
1114
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3313
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3061
52.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1135
21.3 IPS |
