Generic
Geekbench ML Score
12353
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 22 2024 09:38 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock X299 Creator |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10980XE |
| Topology | 1 Processor, 18 Cores |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 18 Cores |
| L1 Instruction Cache | 32.0 KB x 9 |
| L1 Data Cache | 32.0 KB x 9 |
| L2 Cache | 1.00 MB x 9 |
| L3 Cache | 24.8 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5166
966.8 IPS |
|
|
Image Classification (F16)
|
100% |
5367
1.00 KIPS |
|
|
Image Classification (I8)
|
100% |
3877
725.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
9344
156.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
8820
147.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
6650
111.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
134382
162.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
135053
163.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
101830
123.3 IPS |
|
|
Object Detection (F32)
|
100% |
3878
289.5 IPS |
|
|
Object Detection (F16)
|
100% |
3050
227.7 IPS |
|
|
Object Detection (I8)
|
56% |
2504
186.9 IPS |
|
|
Face Detection (F32)
|
100% |
16531
196.6 IPS |
|
|
Face Detection (F16)
|
100% |
16471
195.8 IPS |
|
|
Face Detection (I8)
|
89% |
12774
151.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
39983
310.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
43606
338.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
28305
219.5 IPS |
|
|
Style Transfer (F32)
|
100% |
213396
280.7 IPS |
|
|
Style Transfer (F16)
|
100% |
211070
277.6 IPS |
|
|
Style Transfer (I8)
|
98% |
158324
208.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28034
1.00 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
31218
1.11 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
16203
578.7 IPS |
|
|
Text Classification (F32)
|
100% |
1589
2.28 KIPS |
|
|
Text Classification (F16)
|
100% |
1656
2.38 KIPS |
|
|
Text Classification (I8)
|
98% |
902
1.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
1952
35.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1945
35.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1124
20.7 IPS |
