ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX607VJ_FX607VJ
Geekbench AI Score
2787
Single Precision Score
1401
Half Precision Score
5732
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | December 20 2025 03:08 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) 5 210H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX607VJ_FX607VJ |
| Motherboard | ASUSTeK COMPUTER INC. FX607VJ |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 5 210H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2134
396.9 IPS |
|
|
Image Classification (HP)
|
100% |
561
104.3 IPS |
|
|
Image Classification (Q)
|
99% |
4460
831.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
889
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5980
97.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4078
4.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3275
3.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
14240
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2000
158.6 IPS |
|
|
Object Detection (HP)
|
100% |
705
55.9 IPS |
|
|
Object Detection (Q)
|
86% |
4329
347.9 IPS |
|
|
Face Detection (SP)
|
100% |
4415
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
1461
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
7284
86.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5516
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2129
16.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11561
92.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9999
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7972
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15888
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1994
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1682
62.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4648
172.1 IPS |
|
|
Text Classification (SP)
|
100% |
1584
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1524
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2460
49.4 IPS |
