Dell Inc. Precision 5860 Tower
Geekbench AI Score
15024
Single Precision Score
23996
Half Precision Score
9829
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| Upload Date | December 02 2025 05:56 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% |
5925
1.10 KIPS |
|
|
Image Classification (HP)
|
99% |
9062
1.69 KIPS |
|
|
Image Classification (Q)
|
100% |
4329
805.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
9799
158.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14458
234.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7607
123.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
87853
102.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
231487
270.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
70674
82.8 IPS |
|
|
Object Detection (SP)
|
100% |
7559
599.6 IPS |
|
|
Object Detection (HP)
|
100% |
12012
952.8 IPS |
|
|
Object Detection (Q)
|
85% |
5508
443.4 IPS |
|
|
Face Detection (SP)
|
100% |
17890
212.6 IPS |
|
|
Face Detection (HP)
|
100% |
28619
340.1 IPS |
|
|
Face Detection (Q)
|
97% |
12569
149.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
40742
313.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
69531
535.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
26279
210.5 IPS |
|
|
Style Transfer (SP)
|
100% |
135250
173.9 IPS |
|
|
Style Transfer (HP)
|
100% |
330489
424.8 IPS |
|
|
Style Transfer (Q)
|
98% |
110207
142.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23299
860.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29773
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14295
529.3 IPS |
|
|
Text Classification (SP)
|
100% |
2188
2.92 KIPS |
|
|
Text Classification (HP)
|
99% |
2908
3.88 KIPS |
|
|
Text Classification (Q)
|
97% |
1128
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3026
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3052
52.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1119
21.0 IPS |
