ASUSTeK COMPUTER INC. ROG Strix G713QR_G713QR
Geekbench AI Score
14183
Single Precision Score
22874
Half Precision Score
9636
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Death_Angel_83 |
| Upload Date | October 26 2024 09:50 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G713QR_G713QR |
| Motherboard | ASUSTeK COMPUTER INC. G713QR |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6009
1.12 KIPS |
|
|
Image Classification (HP)
|
99% |
9262
1.73 KIPS |
|
|
Image Classification (Q)
|
100% |
4402
818.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8110
131.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10541
170.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6858
111.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
79220
92.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
232466
271.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
65816
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
7041
558.5 IPS |
|
|
Object Detection (HP)
|
100% |
11141
883.7 IPS |
|
|
Object Detection (Q)
|
88% |
5114
410.1 IPS |
|
|
Face Detection (SP)
|
100% |
15601
185.4 IPS |
|
|
Face Detection (HP)
|
100% |
22031
261.8 IPS |
|
|
Face Detection (Q)
|
97% |
11982
142.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
36296
279.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
71051
547.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
25019
201.6 IPS |
|
|
Style Transfer (SP)
|
100% |
130217
167.4 IPS |
|
|
Style Transfer (HP)
|
100% |
341704
439.3 IPS |
|
|
Style Transfer (Q)
|
98% |
108823
140.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25998
960.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35592
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15503
574.0 IPS |
|
|
Text Classification (SP)
|
100% |
2620
3.50 KIPS |
|
|
Text Classification (HP)
|
99% |
3311
4.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1357
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2414
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2461
42.4 IPS |
|
|
Machine Translation (Q)
|
60% |
990
22.1 IPS |
