ASUSTeK COMPUTER INC. ASUS TUF Gaming F17 FX707ZC4_FX707ZC4
Geekbench AI Score
2282
Single Precision Score
974
Half Precision Score
4159
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 03 2025 10:21 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F17 FX707ZC4_FX707ZC4 |
| Motherboard | ASUSTeK COMPUTER INC. FX707ZC4 |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1759
327.1 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.3 IPS |
|
|
Image Classification (Q)
|
99% |
3098
577.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1028
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
596
9.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
4669
75.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3711
4.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2602
3.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
11391
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1680
133.3 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (Q)
|
86% |
3262
262.1 IPS |
|
|
Face Detection (SP)
|
100% |
4141
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
1024
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
5285
63.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4766
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1403
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
8628
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8832
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6305
8.10 IPS |
|
|
Style Transfer (Q)
|
98% |
13656
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1580
58.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1182
43.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2912
107.8 IPS |
|
|
Text Classification (SP)
|
100% |
1027
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
492
656.6 IPS |
|
|
Text Classification (Q)
|
97% |
912
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
563
9.70 IPS |
|
|
Machine Translation (Q)
|
65% |
1743
35.0 IPS |
