ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K6602ZC_K6602ZC
Geekbench AI Score
752
Single Precision Score
317
Half Precision Score
2676
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Rikyz25 |
| Upload Date | August 24 2025 07:36 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12650H |
| System Information | |
|---|---|
| Operating System | KDE neon User Edition |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K6602ZC_K6602ZC |
| Motherboard | ASUSTeK COMPUTER INC. K6602ZC |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12650H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
630
117.1 IPS |
|
|
Image Classification (HP)
|
100% |
118
21.9 IPS |
|
|
Image Classification (Q)
|
97% |
2572
480.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
568
9.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (Q)
|
99% |
1605
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
811
0.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
618
0.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
4646
5.45 IPS |
|
|
Object Detection (SP)
|
100% |
548
43.5 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
86% |
1811
145.6 IPS |
|
|
Face Detection (SP)
|
100% |
721
8.57 IPS |
|
|
Face Detection (HP)
|
100% |
298
3.54 IPS |
|
|
Face Detection (Q)
|
97% |
6087
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1106
8.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
526
4.05 IPS |
|
|
Depth Estimation (Q)
|
78% |
3786
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1259
1.62 IPS |
|
|
Style Transfer (HP)
|
100% |
844
1.08 IPS |
|
|
Style Transfer (Q)
|
98% |
4657
6.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
405
14.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
363
13.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2721
100.7 IPS |
|
|
Text Classification (SP)
|
100% |
844
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
350
467.2 IPS |
|
|
Text Classification (Q)
|
97% |
962
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1071
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.97 IPS |
|
|
Machine Translation (Q)
|
65% |
1930
38.8 IPS |
