ASUSTeK COMPUTER INC. ASUS V16 V3607VM_V3607VM
Geekbench AI Score
4753
Single Precision Score
4787
Half Precision Score
10990
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | June 22 2025 02:41 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 7 240H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS V16 V3607VM_V3607VM |
| Motherboard | ASUSTeK COMPUTER INC. V3607VM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 7 240H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2806
521.9 IPS |
|
|
Image Classification (HP)
|
100% |
2887
536.8 IPS |
|
|
Image Classification (Q)
|
100% |
6841
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3773
61.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3762
61.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7043
114.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5443
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
5482
6.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
20079
23.5 IPS |
|
|
Object Detection (SP)
|
100% |
2700
214.2 IPS |
|
|
Object Detection (HP)
|
100% |
2772
219.9 IPS |
|
|
Object Detection (Q)
|
88% |
7127
571.3 IPS |
|
|
Face Detection (SP)
|
100% |
7942
94.4 IPS |
|
|
Face Detection (HP)
|
100% |
7895
93.8 IPS |
|
|
Face Detection (Q)
|
100% |
16279
193.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7170
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7199
55.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
18250
141.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16361
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16493
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
57280
73.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3334
123.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3360
124.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11168
413.6 IPS |
|
|
Text Classification (SP)
|
100% |
2759
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2746
3.67 KIPS |
|
|
Text Classification (Q)
|
92% |
4422
5.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4420
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4431
76.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4438
76.4 IPS |
