ASUSTeK COMPUTER INC. ASUSLaptop_Q540VJ
Geekbench ML Score
6381
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 09:11 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUSLaptop_Q540VJ |
| Motherboard | ASUSTeK COMPUTER INC. K6502VJ |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 6GB Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3364
629.4 IPS |
|
|
Image Classification (F16)
|
100% |
3367
630.0 IPS |
|
|
Image Classification (I8)
|
100% |
2660
497.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
4087
68.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3998
66.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3317
55.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
26694
32.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
26573
32.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
28525
34.5 IPS |
|
|
Object Detection (F32)
|
100% |
3251
242.7 IPS |
|
|
Object Detection (F16)
|
100% |
3187
237.9 IPS |
|
|
Object Detection (I8)
|
61% |
2295
171.3 IPS |
|
|
Face Detection (F32)
|
100% |
7303
86.8 IPS |
|
|
Face Detection (F16)
|
100% |
7466
88.8 IPS |
|
|
Face Detection (I8)
|
89% |
5614
66.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
17837
138.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
18876
146.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
13755
106.7 IPS |
|
|
Style Transfer (F32)
|
100% |
68274
89.8 IPS |
|
|
Style Transfer (F16)
|
100% |
67516
88.8 IPS |
|
|
Style Transfer (I8)
|
98% |
44625
58.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9261
330.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9622
343.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5632
201.2 IPS |
|
|
Text Classification (F32)
|
100% |
1287
1.85 KIPS |
|
|
Text Classification (F16)
|
100% |
1600
2.30 KIPS |
|
|
Text Classification (I8)
|
98% |
923
1.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
2400
44.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2407
44.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1114
20.5 IPS |
