Dell Inc. Precision 7865 Tower
Geekbench AI Score
20661
Single Precision Score
35711
Half Precision Score
16576
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | hrichl |
| Upload Date | June 05 2025 06:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 7865 Tower |
| Motherboard | Dell Inc. 0DMYN9 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 5955WX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 8 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8712
1.62 KIPS |
|
|
Image Classification (HP)
|
100% |
14239
2.65 KIPS |
|
|
Image Classification (Q)
|
100% |
8097
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12893
209.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17215
279.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
12323
200.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
123983
144.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
371563
433.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
116203
136.1 IPS |
|
|
Object Detection (SP)
|
100% |
10766
854.0 IPS |
|
|
Object Detection (HP)
|
100% |
17891
1.42 KIPS |
|
|
Object Detection (Q)
|
83% |
9363
756.5 IPS |
|
|
Face Detection (SP)
|
100% |
26750
317.9 IPS |
|
|
Face Detection (HP)
|
100% |
40177
477.4 IPS |
|
|
Face Detection (Q)
|
97% |
23795
283.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
54539
420.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
107461
827.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
43775
349.4 IPS |
|
|
Style Transfer (SP)
|
100% |
173756
223.4 IPS |
|
|
Style Transfer (HP)
|
100% |
559430
719.2 IPS |
|
|
Style Transfer (Q)
|
98% |
152362
196.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32188
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57727
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24874
921.0 IPS |
|
|
Text Classification (SP)
|
100% |
3111
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3620
4.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2077
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3726
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4102
70.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1760
33.0 IPS |
