ASUS System Product Name
Geekbench ML Score
5263
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 05:15 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 7 |
| L1 Data Cache | 48.0 KB x 7 |
| L2 Cache | 3.00 MB x 1 |
| L3 Cache | 24.0 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% |
2667
499.1 IPS |
|
|
Image Classification (F16)
|
100% |
2597
485.9 IPS |
|
|
Image Classification (I8)
|
99% |
4837
905.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2180
36.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2138
35.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3861
64.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
10331
12.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
10154
12.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
35920
43.5 IPS |
|
|
Object Detection (F32)
|
100% |
2596
193.8 IPS |
|
|
Object Detection (F16)
|
100% |
2428
181.3 IPS |
|
|
Object Detection (I8)
|
62% |
2497
186.4 IPS |
|
|
Face Detection (F32)
|
100% |
5176
61.5 IPS |
|
|
Face Detection (F16)
|
100% |
5114
60.8 IPS |
|
|
Face Detection (I8)
|
89% |
5241
62.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
10663
82.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
9802
76.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
19561
151.7 IPS |
|
|
Style Transfer (F32)
|
100% |
23344
30.7 IPS |
|
|
Style Transfer (F16)
|
100% |
24006
31.6 IPS |
|
|
Style Transfer (I8)
|
98% |
29348
38.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4935
176.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4851
173.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6654
237.6 IPS |
|
|
Text Classification (F32)
|
100% |
1930
2.77 KIPS |
|
|
Text Classification (F16)
|
100% |
1940
2.79 KIPS |
|
|
Text Classification (I8)
|
98% |
1450
2.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
2627
48.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2707
49.8 IPS |
|
|
Machine Translation (I8)
|
67% |
4239
78.0 IPS |
