Generic
Geekbench ML Score
16105
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 24 2024 11:24 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B450M Pro4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 96.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7794
1.46 KIPS |
|
|
Image Classification (F16)
|
100% |
8486
1.59 KIPS |
|
|
Image Classification (I8)
|
100% |
5473
1.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12039
201.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
12009
200.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
9187
153.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
122083
147.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
121895
147.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
95762
116.0 IPS |
|
|
Object Detection (F32)
|
100% |
5511
411.4 IPS |
|
|
Object Detection (F16)
|
100% |
5544
413.9 IPS |
|
|
Object Detection (I8)
|
56% |
4368
326.1 IPS |
|
|
Face Detection (F32)
|
100% |
25365
301.6 IPS |
|
|
Face Detection (F16)
|
100% |
25709
305.7 IPS |
|
|
Face Detection (I8)
|
89% |
17787
211.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
54355
421.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
49513
384.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
32719
253.7 IPS |
|
|
Style Transfer (F32)
|
100% |
230872
303.7 IPS |
|
|
Style Transfer (F16)
|
100% |
218975
288.0 IPS |
|
|
Style Transfer (I8)
|
98% |
160329
210.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
32201
1.15 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
31630
1.13 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
17128
611.7 IPS |
|
|
Text Classification (F32)
|
100% |
2343
3.37 KIPS |
|
|
Text Classification (F16)
|
100% |
2327
3.34 KIPS |
|
|
Text Classification (I8)
|
98% |
1204
1.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
3442
63.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3458
63.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1569
28.9 IPS |
