ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K6602ZC_K6602ZC
Geekbench AI Score
2275
Single Precision Score
2323
Half Precision Score
1520
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Rikyz25 |
| Upload Date | August 24 2025 10:01 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K6602ZC_K6602ZC |
| Motherboard | ASUSTeK COMPUTER INC. K6602ZC |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12650H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
941
175.0 IPS |
|
|
Image Classification (HP)
|
100% |
1003
186.5 IPS |
|
|
Image Classification (Q)
|
100% |
866
161.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1126
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7803
9.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
8996
10.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
4641
5.44 IPS |
|
|
Object Detection (SP)
|
100% |
1145
90.8 IPS |
|
|
Object Detection (HP)
|
98% |
992
78.9 IPS |
|
|
Object Detection (Q)
|
86% |
964
77.5 IPS |
|
|
Face Detection (SP)
|
100% |
2267
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
2675
31.8 IPS |
|
|
Face Detection (Q)
|
97% |
1678
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4319
33.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5057
39.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
3244
26.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17522
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22022
28.3 IPS |
|
|
Style Transfer (Q)
|
98% |
11998
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2477
91.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3353
123.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1197
44.3 IPS |
|
|
Text Classification (SP)
|
100% |
805
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
352
469.7 IPS |
|
|
Text Classification (Q)
|
97% |
441
590.5 IPS |
|
|
Machine Translation (SP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (Q)
|
70% |
438
8.21 IPS |
