ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX607VBR_FX677VBR
Geekbench AI Score
784
Single Precision Score
455
Half Precision Score
1848
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | teamtechyimran |
| Upload Date | August 16 2025 07:59 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | 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% |
455
84.6 IPS |
|
|
Image Classification (HP)
|
100% |
149
27.7 IPS |
|
|
Image Classification (Q)
|
99% |
930
173.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
1665
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1229
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
930
1.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
2933
3.44 IPS |
|
|
Object Detection (SP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (Q)
|
86% |
838
67.3 IPS |
|
|
Face Detection (SP)
|
100% |
693
8.24 IPS |
|
|
Face Detection (HP)
|
100% |
371
4.41 IPS |
|
|
Face Detection (Q)
|
97% |
1663
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1062
8.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
501
3.86 IPS |
|
|
Depth Estimation (Q)
|
78% |
2112
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2608
3.35 IPS |
|
|
Style Transfer (HP)
|
100% |
1943
2.50 IPS |
|
|
Style Transfer (Q)
|
98% |
4384
5.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
359
13.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
383
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3327
123.2 IPS |
|
|
Text Classification (SP)
|
100% |
1440
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
748
998.5 IPS |
|
|
Text Classification (Q)
|
97% |
1417
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (Q)
|
65% |
1688
33.9 IPS |
