ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX607VBR_FX677VBR
Geekbench AI Score
3004
Single Precision Score
2958
Half Precision Score
7473
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 17 2025 08:17 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 5 210H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX607VBR_FX677VBR |
| Motherboard | ASUSTeK COMPUTER INC. FX607VBR |
| Power Plan | Turbo |
| 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% |
1789
332.7 IPS |
|
|
Image Classification (HP)
|
100% |
1757
326.8 IPS |
|
|
Image Classification (Q)
|
100% |
4815
895.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4130
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3759
4.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3759
4.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
13973
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1810
143.6 IPS |
|
|
Object Detection (HP)
|
100% |
1729
137.1 IPS |
|
|
Object Detection (Q)
|
88% |
4717
378.1 IPS |
|
|
Face Detection (SP)
|
100% |
3298
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
3315
39.4 IPS |
|
|
Face Detection (Q)
|
100% |
10526
125.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4711
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4810
37.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
11660
90.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10866
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10774
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
37039
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2232
82.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2156
79.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7823
289.7 IPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2172
2.90 KIPS |
|
|
Text Classification (Q)
|
92% |
4019
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3028
52.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2825
48.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2900
50.0 IPS |
