Dell Inc. Precision 7865 Tower
Geekbench AI Score
19814
Single Precision Score
34582
Half Precision Score
14868
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | hrichl |
| Upload Date | June 04 2025 04:19 AM |
| 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% |
8347
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
13831
2.57 KIPS |
|
|
Image Classification (Q)
|
100% |
4256
791.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
12560
203.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16940
274.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11910
193.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
117152
136.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
355174
414.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
109607
128.4 IPS |
|
|
Object Detection (SP)
|
100% |
10358
821.6 IPS |
|
|
Object Detection (HP)
|
100% |
17253
1.37 KIPS |
|
|
Object Detection (Q)
|
83% |
8971
724.8 IPS |
|
|
Face Detection (SP)
|
100% |
25838
307.0 IPS |
|
|
Face Detection (HP)
|
100% |
39278
466.7 IPS |
|
|
Face Detection (Q)
|
97% |
22991
274.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
51721
398.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
102623
790.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
41367
330.2 IPS |
|
|
Style Transfer (SP)
|
100% |
162960
209.5 IPS |
|
|
Style Transfer (HP)
|
100% |
534128
686.6 IPS |
|
|
Style Transfer (Q)
|
98% |
143317
184.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30377
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55957
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23625
874.8 IPS |
|
|
Text Classification (SP)
|
100% |
2989
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3502
4.67 KIPS |
|
|
Text Classification (Q)
|
97% |
1952
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3708
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4039
69.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1685
31.6 IPS |
