ASUS System Product Name
Geekbench ML Score
5162
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 27 2024 01:57 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 Z790-F GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 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% |
2844
532.3 IPS |
|
|
Image Classification (F16)
|
100% |
2746
513.9 IPS |
|
|
Image Classification (I8)
|
99% |
4681
875.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2402
40.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2429
40.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3401
56.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
11282
13.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
11339
13.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
35044
42.4 IPS |
|
|
Object Detection (F32)
|
100% |
2566
191.6 IPS |
|
|
Object Detection (F16)
|
100% |
2637
196.9 IPS |
|
|
Object Detection (I8)
|
62% |
2371
177.0 IPS |
|
|
Face Detection (F32)
|
100% |
5480
65.2 IPS |
|
|
Face Detection (F16)
|
100% |
5449
64.8 IPS |
|
|
Face Detection (I8)
|
89% |
5534
65.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
10911
84.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11079
85.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
18215
141.3 IPS |
|
|
Style Transfer (F32)
|
100% |
26642
35.0 IPS |
|
|
Style Transfer (F16)
|
100% |
26509
34.9 IPS |
|
|
Style Transfer (I8)
|
98% |
30497
40.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5069
181.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5133
183.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6219
222.1 IPS |
|
|
Text Classification (F32)
|
100% |
1746
2.51 KIPS |
|
|
Text Classification (F16)
|
100% |
1804
2.59 KIPS |
|
|
Text Classification (I8)
|
98% |
523
751.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2527
46.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2495
45.9 IPS |
|
|
Machine Translation (I8)
|
67% |
3536
65.1 IPS |
