ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K6602ZC_K6602ZC
Geekbench AI Score
8663
Single Precision Score
15685
Half Precision Score
6088
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Rikyz25 |
| Upload Date | August 24 2025 10:04 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| 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% |
3727
693.1 IPS |
|
|
Image Classification (HP)
|
99% |
6490
1.21 KIPS |
|
|
Image Classification (Q)
|
99% |
2919
544.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5591
90.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8727
141.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4681
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
34547
40.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
100433
117.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
29422
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4207
333.7 IPS |
|
|
Object Detection (HP)
|
100% |
8772
695.8 IPS |
|
|
Object Detection (Q)
|
84% |
3514
283.4 IPS |
|
|
Face Detection (SP)
|
100% |
9463
112.4 IPS |
|
|
Face Detection (HP)
|
100% |
16670
198.1 IPS |
|
|
Face Detection (Q)
|
97% |
7878
93.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20298
156.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
42846
330.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
14813
118.6 IPS |
|
|
Style Transfer (SP)
|
100% |
59302
76.2 IPS |
|
|
Style Transfer (HP)
|
100% |
160239
206.0 IPS |
|
|
Style Transfer (Q)
|
98% |
48825
63.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11615
428.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20379
752.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7681
284.4 IPS |
|
|
Text Classification (SP)
|
100% |
2129
2.84 KIPS |
|
|
Text Classification (HP)
|
99% |
2706
3.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1009
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2791
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2862
49.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1122
21.0 IPS |
