ASUSTeK COMPUTER INC. ROG Flow X16 GV601RW_GV601RW
Geekbench AI Score
15868
Single Precision Score
26233
Half Precision Score
10395
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TBayliss |
| Upload Date | April 02 2025 05:02 PM |
| 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 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow X16 GV601RW_GV601RW |
| Motherboard | ASUSTeK COMPUTER INC. GV601RW |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 6900HS |
| 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% |
6508
1.21 KIPS |
|
|
Image Classification (HP)
|
99% |
9892
1.84 KIPS |
|
|
Image Classification (Q)
|
100% |
4686
871.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
10898
176.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16466
266.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8435
137.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
76638
89.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
234647
273.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
63171
74.0 IPS |
|
|
Object Detection (SP)
|
100% |
8340
661.5 IPS |
|
|
Object Detection (HP)
|
100% |
13324
1.06 KIPS |
|
|
Object Detection (Q)
|
85% |
6187
498.1 IPS |
|
|
Face Detection (SP)
|
100% |
18697
222.2 IPS |
|
|
Face Detection (HP)
|
100% |
29990
356.3 IPS |
|
|
Face Detection (Q)
|
97% |
14449
172.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
39155
301.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71580
551.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
26165
209.6 IPS |
|
|
Style Transfer (SP)
|
100% |
141003
181.3 IPS |
|
|
Style Transfer (HP)
|
100% |
359278
461.9 IPS |
|
|
Style Transfer (Q)
|
98% |
110565
142.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25459
940.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35770
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14994
555.2 IPS |
|
|
Text Classification (SP)
|
100% |
2438
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
3109
4.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1209
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3485
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1259
23.6 IPS |
