ASUS System Product Name
Geekbench ML Score
4775
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 03 2024 09:27 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-E GAMING WIFI |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2620
490.2 IPS |
|
|
Image Classification (F16)
|
100% |
2621
490.4 IPS |
|
|
Image Classification (I8)
|
99% |
4534
848.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2238
37.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2293
38.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3401
56.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
10112
12.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
10314
12.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
33395
40.4 IPS |
|
|
Object Detection (F32)
|
100% |
2432
181.6 IPS |
|
|
Object Detection (F16)
|
100% |
2295
171.3 IPS |
|
|
Object Detection (I8)
|
62% |
1720
128.4 IPS |
|
|
Face Detection (F32)
|
100% |
4998
59.4 IPS |
|
|
Face Detection (F16)
|
100% |
5113
60.8 IPS |
|
|
Face Detection (I8)
|
89% |
5145
61.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
10415
80.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10496
81.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
17652
136.9 IPS |
|
|
Style Transfer (F32)
|
100% |
23427
30.8 IPS |
|
|
Style Transfer (F16)
|
100% |
23063
30.3 IPS |
|
|
Style Transfer (I8)
|
98% |
28254
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4172
149.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4231
151.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5782
206.5 IPS |
|
|
Text Classification (F32)
|
100% |
1830
2.63 KIPS |
|
|
Text Classification (F16)
|
100% |
1832
2.63 KIPS |
|
|
Text Classification (I8)
|
98% |
540
775.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2331
42.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2347
43.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3297
60.7 IPS |
