ASUS System Product Name
Geekbench ML Score
4553
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Benster412 |
| Upload Date | October 09 2024 02:49 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-F GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.25 MB x 3 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2426
454.0 IPS |
|
|
Image Classification (F16)
|
100% |
2377
444.7 IPS |
|
|
Image Classification (I8)
|
99% |
4483
839.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2085
34.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2099
35.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2989
49.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
8696
10.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
9417
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
31114
37.7 IPS |
|
|
Object Detection (F32)
|
100% |
2281
170.3 IPS |
|
|
Object Detection (F16)
|
100% |
1762
131.5 IPS |
|
|
Object Detection (I8)
|
62% |
2090
156.0 IPS |
|
|
Face Detection (F32)
|
100% |
4811
57.2 IPS |
|
|
Face Detection (F16)
|
100% |
5091
60.5 IPS |
|
|
Face Detection (I8)
|
89% |
4971
59.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
9932
77.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9255
71.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
15918
123.4 IPS |
|
|
Style Transfer (F32)
|
100% |
20901
27.5 IPS |
|
|
Style Transfer (F16)
|
100% |
20351
26.8 IPS |
|
|
Style Transfer (I8)
|
98% |
27413
36.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4618
164.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4616
164.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6117
218.5 IPS |
|
|
Text Classification (F32)
|
100% |
1856
2.67 KIPS |
|
|
Text Classification (F16)
|
100% |
1804
2.59 KIPS |
|
|
Text Classification (I8)
|
98% |
548
787.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2185
40.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2225
40.9 IPS |
|
|
Machine Translation (I8)
|
67% |
3208
59.0 IPS |
