B660M-HDVP/D5 R2.0
Geekbench ML Score
16929
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 11:16 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | B660M-HDVP/D5 R2.0 |
| Motherboard | ASRock B660M-HDVP/D5 R2.0 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8876
1.66 KIPS |
|
|
Image Classification (F16)
|
100% |
8719
1.63 KIPS |
|
|
Image Classification (I8)
|
100% |
5626
1.05 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12814
214.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
12315
205.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
9449
157.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
159842
193.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
153542
185.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
116269
140.8 IPS |
|
|
Object Detection (F32)
|
100% |
5590
417.3 IPS |
|
|
Object Detection (F16)
|
100% |
5438
406.0 IPS |
|
|
Object Detection (I8)
|
56% |
4551
339.7 IPS |
|
|
Face Detection (F32)
|
100% |
26462
314.6 IPS |
|
|
Face Detection (F16)
|
100% |
27581
327.9 IPS |
|
|
Face Detection (I8)
|
89% |
17896
212.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
54882
425.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
49741
385.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
30663
237.8 IPS |
|
|
Style Transfer (F32)
|
100% |
245065
322.4 IPS |
|
|
Style Transfer (F16)
|
100% |
225977
297.3 IPS |
|
|
Style Transfer (I8)
|
98% |
167094
219.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
32496
1.16 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
33006
1.18 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
18519
661.4 IPS |
|
|
Text Classification (F32)
|
100% |
2371
3.41 KIPS |
|
|
Text Classification (F16)
|
100% |
2392
3.44 KIPS |
|
|
Text Classification (I8)
|
98% |
1256
1.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
3588
66.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3597
66.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1529
28.1 IPS |
