ASUSTeK COMPUTER INC. ASUS TUF Gaming F17 FX707VI_FX707VI
Geekbench AI Score
3443
Single Precision Score
4745
Half Precision Score
7568
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | zypher666 |
| Upload Date | April 09 2025 08:05 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F17 FX707VI_FX707VI |
| Motherboard | ASUSTeK COMPUTER INC. FX707VI |
| Power Plan | Silent |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
3217
598.2 IPS |
|
|
Image Classification (Q)
|
99% |
4380
817.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3473
56.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5336
86.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6722
109.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6663
7.78 IPS |
|
|
Pose Estimation (HP)
|
99% |
5210
6.08 IPS |
|
|
Pose Estimation (Q)
|
97% |
23042
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
1999
158.5 IPS |
|
|
Object Detection (HP)
|
100% |
2957
234.5 IPS |
|
|
Object Detection (Q)
|
90% |
5337
426.7 IPS |
|
|
Face Detection (SP)
|
100% |
5895
70.0 IPS |
|
|
Face Detection (HP)
|
100% |
8612
102.3 IPS |
|
|
Face Detection (Q)
|
100% |
13012
154.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7435
57.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12205
94.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
16666
129.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17155
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26186
33.7 IPS |
|
|
Style Transfer (Q)
|
98% |
51782
66.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3025
111.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4672
172.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8982
332.6 IPS |
|
|
Text Classification (SP)
|
71% |
965
1.40 KIPS |
|
|
Text Classification (HP)
|
71% |
1126
1.63 KIPS |
|
|
Text Classification (Q)
|
92% |
1129
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1149
19.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1511
26.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1495
25.7 IPS |
