Dell Inc. Precision 7865 Tower
Geekbench AI Score
20431
Single Precision Score
35203
Half Precision Score
16269
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | hrichl |
| Upload Date | June 04 2025 03:58 AM |
| Views | 11 |
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% |
8580
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
14052
2.61 KIPS |
|
|
Image Classification (Q)
|
100% |
7921
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12804
207.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17133
277.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12049
195.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
121248
141.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
365590
426.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
113608
133.1 IPS |
|
|
Object Detection (SP)
|
100% |
10732
851.3 IPS |
|
|
Object Detection (HP)
|
100% |
17425
1.38 KIPS |
|
|
Object Detection (Q)
|
83% |
9221
745.0 IPS |
|
|
Face Detection (SP)
|
100% |
26321
312.8 IPS |
|
|
Face Detection (HP)
|
100% |
39459
468.9 IPS |
|
|
Face Detection (Q)
|
97% |
23270
277.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
53631
413.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
106360
819.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
43044
343.6 IPS |
|
|
Style Transfer (SP)
|
100% |
169936
218.5 IPS |
|
|
Style Transfer (HP)
|
100% |
551369
708.8 IPS |
|
|
Style Transfer (Q)
|
98% |
147883
190.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31968
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55824
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24076
891.5 IPS |
|
|
Text Classification (SP)
|
100% |
3059
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3617
4.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2040
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3781
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4079
70.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1786
33.5 IPS |
