ASUSTeK COMPUTER INC. ROG Zephyrus G15 GA503QR_GA503QR
Geekbench ML Score
2071
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 24 2024 04:36 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G15 GA503QR_GA503QR |
| Motherboard | ASUSTeK COMPUTER INC. GA503QR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1160
217.0 IPS |
|
|
Image Classification (F16)
|
100% |
1188
222.3 IPS |
|
|
Image Classification (I8)
|
97% |
2262
423.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1050
17.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1081
18.1 IPS |
|
|
Image Segmentation (I8)
|
97% |
1581
26.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
3488
4.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
3450
4.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
9897
12.0 IPS |
|
|
Object Detection (F32)
|
100% |
1077
80.4 IPS |
|
|
Object Detection (F16)
|
100% |
1166
87.0 IPS |
|
|
Object Detection (I8)
|
60% |
1082
80.8 IPS |
|
|
Face Detection (F32)
|
100% |
1484
17.7 IPS |
|
|
Face Detection (F16)
|
100% |
1515
18.0 IPS |
|
|
Face Detection (I8)
|
87% |
2690
32.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3802
29.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3903
30.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
8074
62.6 IPS |
|
|
Style Transfer (F32)
|
100% |
8563
11.3 IPS |
|
|
Style Transfer (F16)
|
100% |
9106
12.0 IPS |
|
|
Style Transfer (I8)
|
85% |
11091
14.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1542
55.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1401
50.0 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2092
74.7 IPS |
|
|
Text Classification (F32)
|
100% |
1240
1.78 KIPS |
|
|
Text Classification (F16)
|
100% |
1454
2.09 KIPS |
|
|
Text Classification (I8)
|
94% |
285
409.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1247
23.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1248
23.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1497
27.5 IPS |
