ASUS System Product Name
Geekbench ML Score
4818
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 10 2024 05:05 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 14 |
| L1 Data Cache | 48.0 KB x 14 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 33.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2676
500.7 IPS |
|
|
Image Classification (F16)
|
100% |
2679
501.3 IPS |
|
|
Image Classification (I8)
|
99% |
4465
835.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2215
37.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2212
36.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3523
58.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
10445
12.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
10313
12.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
32106
38.9 IPS |
|
|
Object Detection (F32)
|
100% |
2369
176.8 IPS |
|
|
Object Detection (F16)
|
100% |
2363
176.4 IPS |
|
|
Object Detection (I8)
|
62% |
2123
158.5 IPS |
|
|
Face Detection (F32)
|
100% |
4785
56.9 IPS |
|
|
Face Detection (F16)
|
100% |
4678
55.6 IPS |
|
|
Face Detection (I8)
|
89% |
4886
58.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
10286
79.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10266
79.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
17871
138.6 IPS |
|
|
Style Transfer (F32)
|
100% |
22990
30.2 IPS |
|
|
Style Transfer (F16)
|
100% |
23483
30.9 IPS |
|
|
Style Transfer (I8)
|
98% |
27014
35.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4532
161.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4184
149.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6444
230.1 IPS |
|
|
Text Classification (F32)
|
100% |
1807
2.60 KIPS |
|
|
Text Classification (F16)
|
100% |
1845
2.65 KIPS |
|
|
Text Classification (I8)
|
98% |
523
751.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2478
45.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2484
45.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3436
63.2 IPS |
