ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA402XV_GA402XV
Geekbench ML Score
3548
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 05:55 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA402XV_GA402XV |
| Motherboard | ASUSTeK COMPUTER INC. GA402XV |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1669
312.3 IPS |
|
|
Image Classification (F16)
|
100% |
1476
276.3 IPS |
|
|
Image Classification (I8)
|
100% |
1183
221.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1497
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1490
24.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1293
21.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23042
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
22661
27.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
15124
18.3 IPS |
|
|
Object Detection (F32)
|
100% |
1381
103.1 IPS |
|
|
Object Detection (F16)
|
100% |
1463
109.2 IPS |
|
|
Object Detection (I8)
|
62% |
1299
97.0 IPS |
|
|
Face Detection (F32)
|
100% |
2474
29.4 IPS |
|
|
Face Detection (F16)
|
100% |
2455
29.2 IPS |
|
|
Face Detection (I8)
|
89% |
1892
22.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
9383
72.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
9357
72.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
7183
55.7 IPS |
|
|
Style Transfer (F32)
|
100% |
29724
39.1 IPS |
|
|
Style Transfer (F16)
|
100% |
29572
38.9 IPS |
|
|
Style Transfer (I8)
|
98% |
24678
32.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5683
203.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5472
195.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3643
130.1 IPS |
|
|
Text Classification (F32)
|
100% |
1537
2.21 KIPS |
|
|
Text Classification (F16)
|
100% |
1543
2.22 KIPS |
|
|
Text Classification (I8)
|
98% |
1295
1.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
1708
31.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1726
31.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1130
20.8 IPS |
