ASUS System Product Name
Geekbench ML Score
14910
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 11 2024 07:03 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-I GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A4500 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7834
1.47 KIPS |
|
|
Image Classification (F16)
|
100% |
7530
1.41 KIPS |
|
|
Image Classification (I8)
|
100% |
4717
882.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
11714
195.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
11904
198.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
8956
149.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
104143
126.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
104449
126.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
83159
100.7 IPS |
|
|
Object Detection (F32)
|
100% |
5894
440.0 IPS |
|
|
Object Detection (F16)
|
100% |
5825
434.9 IPS |
|
|
Object Detection (I8)
|
63% |
4644
346.7 IPS |
|
|
Face Detection (F32)
|
100% |
22255
264.6 IPS |
|
|
Face Detection (F16)
|
100% |
23193
275.8 IPS |
|
|
Face Detection (I8)
|
89% |
16343
194.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
45857
355.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
40869
316.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
30174
234.0 IPS |
|
|
Style Transfer (F32)
|
100% |
197851
260.3 IPS |
|
|
Style Transfer (F16)
|
100% |
181322
238.5 IPS |
|
|
Style Transfer (I8)
|
98% |
131039
172.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
30517
1.09 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
29311
1.05 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
16965
605.9 IPS |
|
|
Text Classification (F32)
|
100% |
2225
3.20 KIPS |
|
|
Text Classification (F16)
|
100% |
2139
3.07 KIPS |
|
|
Text Classification (I8)
|
98% |
1191
1.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
3381
62.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3357
61.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1460
26.9 IPS |
