ASUSTeK COMPUTER INC. ASUS Vivobook 16 M1607KA_M1607KA
Geekbench AI Score
3878
Single Precision Score
1955
Half Precision Score
8806
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | jhotis12 |
| Upload Date | September 03 2025 10:41 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook 16 M1607KA_M1607KA |
| Motherboard | ASUSTeK COMPUTER INC. M1607KA |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3267
607.6 IPS |
|
|
Image Classification (HP)
|
100% |
848
157.8 IPS |
|
|
Image Classification (Q)
|
99% |
8265
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1003
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9819
159.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5841
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4914
5.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
22336
26.2 IPS |
|
|
Object Detection (SP)
|
100% |
2982
236.5 IPS |
|
|
Object Detection (HP)
|
100% |
931
73.8 IPS |
|
|
Object Detection (Q)
|
86% |
8020
644.5 IPS |
|
|
Face Detection (SP)
|
100% |
6191
73.6 IPS |
|
|
Face Detection (HP)
|
100% |
1922
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
10739
128.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7919
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2913
22.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
16877
134.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13809
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11936
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
30014
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2712
100.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2397
88.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4793
177.5 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1202
1.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2026
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2423
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1092
18.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3655
73.4 IPS |
