ASUSTeK COMPUTER INC. ROG Strix G713RW_G713RW
Geekbench AI Score
17250
Single Precision Score
27936
Half Precision Score
11249
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 01:11 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G713RW_G713RW |
| Motherboard | ASUSTeK COMPUTER INC. G713RW |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 6900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6969
1.30 KIPS |
|
|
Image Classification (HP)
|
99% |
10420
1.94 KIPS |
|
|
Image Classification (Q)
|
100% |
5064
941.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
11756
190.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17142
277.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9195
149.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
90103
105.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
268949
313.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
74413
87.2 IPS |
|
|
Object Detection (SP)
|
100% |
9002
714.0 IPS |
|
|
Object Detection (HP)
|
100% |
13904
1.10 KIPS |
|
|
Object Detection (Q)
|
85% |
6646
535.0 IPS |
|
|
Face Detection (SP)
|
100% |
20622
245.0 IPS |
|
|
Face Detection (HP)
|
100% |
31628
375.8 IPS |
|
|
Face Detection (Q)
|
97% |
15789
188.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
41750
321.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78396
604.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
27790
222.6 IPS |
|
|
Style Transfer (SP)
|
100% |
160005
205.7 IPS |
|
|
Style Transfer (HP)
|
100% |
393717
506.1 IPS |
|
|
Style Transfer (Q)
|
98% |
121033
156.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27865
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37408
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16426
608.2 IPS |
|
|
Text Classification (SP)
|
100% |
2522
3.37 KIPS |
|
|
Text Classification (HP)
|
99% |
3262
4.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1256
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3627
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3639
62.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1286
24.1 IPS |
