Dell Inc. Precision Tower 7910
Geekbench ML Score
12464
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 05 2025 04:30 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision Tower 7910 |
| Motherboard | Dell Inc. 0NK5PH |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2699 v4 |
| Topology | 2 Processors, 44 Cores, 88 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 22 Cores |
| L1 Instruction Cache | 32.0 KB x 22 |
| L1 Data Cache | 32.0 KB x 22 |
| L2 Cache | 256 KB x 22 |
| L3 Cache | 55.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4872
911.7 IPS |
|
|
Image Classification (F16)
|
100% |
5109
956.0 IPS |
|
|
Image Classification (I8)
|
100% |
3982
745.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
7601
126.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
7665
128.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
6281
104.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
144536
175.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
145001
175.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
108816
131.8 IPS |
|
|
Object Detection (F32)
|
100% |
3326
248.3 IPS |
|
|
Object Detection (F16)
|
100% |
3494
260.9 IPS |
|
|
Object Detection (I8)
|
56% |
3019
225.4 IPS |
|
|
Face Detection (F32)
|
100% |
17748
211.0 IPS |
|
|
Face Detection (F16)
|
100% |
17445
207.4 IPS |
|
|
Face Detection (I8)
|
89% |
13226
157.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
46925
363.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
46803
363.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
29556
229.2 IPS |
|
|
Style Transfer (F32)
|
100% |
215646
283.7 IPS |
|
|
Style Transfer (F16)
|
100% |
216059
284.2 IPS |
|
|
Style Transfer (I8)
|
98% |
157170
206.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
26049
930.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25405
907.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16598
592.8 IPS |
|
|
Text Classification (F32)
|
100% |
1694
2.43 KIPS |
|
|
Text Classification (F16)
|
100% |
1632
2.35 KIPS |
|
|
Text Classification (I8)
|
98% |
904
1.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
2039
37.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2041
37.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1150
21.2 IPS |
