MicroElectronics B748
Geekbench ML Score
3842
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 19 2024 03:58 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MicroElectronics B748 |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P D4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.61 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 10 |
| L1 Data Cache | 32.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 25.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2258
422.5 IPS |
|
|
Image Classification (F16)
|
100% |
2266
424.0 IPS |
|
|
Image Classification (I8)
|
99% |
4032
754.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1781
29.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1770
29.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2774
46.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7748
9.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
7784
9.43 IPS |
|
|
Pose Estimation (I8)
|
100% |
24261
29.4 IPS |
|
|
Object Detection (F32)
|
100% |
1967
146.8 IPS |
|
|
Object Detection (F16)
|
100% |
1957
146.1 IPS |
|
|
Object Detection (I8)
|
62% |
1964
146.7 IPS |
|
|
Face Detection (F32)
|
100% |
2795
33.2 IPS |
|
|
Face Detection (F16)
|
100% |
2763
32.9 IPS |
|
|
Face Detection (I8)
|
89% |
3738
44.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
7820
60.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
7849
60.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
14152
109.8 IPS |
|
|
Style Transfer (F32)
|
100% |
16825
22.1 IPS |
|
|
Style Transfer (F16)
|
100% |
16922
22.3 IPS |
|
|
Style Transfer (I8)
|
98% |
17117
22.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3880
138.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3909
139.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5001
178.6 IPS |
|
|
Text Classification (F32)
|
100% |
1680
2.41 KIPS |
|
|
Text Classification (F16)
|
100% |
1690
2.43 KIPS |
|
|
Text Classification (I8)
|
98% |
542
779.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2021
37.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2052
37.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2933
54.0 IPS |
