Dell Inc. Precision 7865 Tower
Geekbench AI Score
20327
Single Precision Score
35200
Half Precision Score
16198
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | hrichl |
| Upload Date | June 04 2025 04:37 AM |
| Views | 6 |
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% |
14101
2.62 KIPS |
|
|
Image Classification (Q)
|
100% |
7859
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12768
207.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17085
277.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12076
196.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
120691
140.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
363403
424.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
112807
132.1 IPS |
|
|
Object Detection (SP)
|
100% |
10629
843.1 IPS |
|
|
Object Detection (HP)
|
100% |
17566
1.39 KIPS |
|
|
Object Detection (Q)
|
83% |
9176
741.4 IPS |
|
|
Face Detection (SP)
|
100% |
26411
313.8 IPS |
|
|
Face Detection (HP)
|
100% |
39857
473.6 IPS |
|
|
Face Detection (Q)
|
97% |
23460
279.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
53029
408.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
105103
809.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
42746
341.2 IPS |
|
|
Style Transfer (SP)
|
100% |
169514
217.9 IPS |
|
|
Style Transfer (HP)
|
100% |
549791
706.8 IPS |
|
|
Style Transfer (Q)
|
98% |
147773
190.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31637
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56552
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24241
897.6 IPS |
|
|
Text Classification (SP)
|
100% |
2963
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3585
4.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2041
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3844
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4067
70.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1727
32.4 IPS |
