ASUSTeK COMPUTER INC. ASUS TUF Gaming F16 FX607VBR_FX677VBR
Geekbench AI Score
1994
Single Precision Score
1037
Half Precision Score
4143
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | teamtechyimran |
| Upload Date | August 16 2025 07:51 AM |
| Views | 5 |
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% |
1570
292.0 IPS |
|
|
Image Classification (HP)
|
100% |
377
70.1 IPS |
|
|
Image Classification (Q)
|
99% |
3002
560.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
589
9.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
535
8.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
4184
68.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3070
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2324
2.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
10504
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (HP)
|
100% |
528
41.9 IPS |
|
|
Object Detection (Q)
|
86% |
3268
262.6 IPS |
|
|
Face Detection (SP)
|
100% |
2136
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
961
11.4 IPS |
|
|
Face Detection (Q)
|
97% |
5735
68.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4869
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1499
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
9088
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8242
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7016
9.02 IPS |
|
|
Style Transfer (Q)
|
98% |
8878
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1656
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4184
154.9 IPS |
|
|
Text Classification (SP)
|
100% |
1455
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
735
981.5 IPS |
|
|
Text Classification (Q)
|
97% |
1400
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1207
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
542
9.34 IPS |
|
|
Machine Translation (Q)
|
65% |
1277
25.7 IPS |
