Dell Inc. Precision 7865 Tower
Geekbench AI Score
20287
Single Precision Score
34894
Half Precision Score
16187
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | hrichl |
| Upload Date | June 03 2025 11:21 PM |
| Views | 8 |
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% |
8596
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
13896
2.58 KIPS |
|
|
Image Classification (Q)
|
100% |
7842
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12754
206.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17057
276.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12072
196.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
121323
141.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
361469
421.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
112223
131.5 IPS |
|
|
Object Detection (SP)
|
100% |
10479
831.2 IPS |
|
|
Object Detection (HP)
|
100% |
17286
1.37 KIPS |
|
|
Object Detection (Q)
|
83% |
9159
740.0 IPS |
|
|
Face Detection (SP)
|
100% |
26520
315.1 IPS |
|
|
Face Detection (HP)
|
100% |
39657
471.2 IPS |
|
|
Face Detection (Q)
|
97% |
23113
275.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
52982
408.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104329
803.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
43073
343.8 IPS |
|
|
Style Transfer (SP)
|
100% |
170755
219.5 IPS |
|
|
Style Transfer (HP)
|
100% |
554197
712.4 IPS |
|
|
Style Transfer (Q)
|
98% |
148109
191.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30993
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55852
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24297
899.7 IPS |
|
|
Text Classification (SP)
|
100% |
3041
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3577
4.77 KIPS |
|
|
Text Classification (Q)
|
97% |
2022
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3747
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3945
67.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1753
32.9 IPS |
