ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA607PI_FA607PI
Geekbench AI Score
21186
Single Precision Score
34404
Half Precision Score
16559
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 05 2025 05:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA607PI_FA607PI |
| Motherboard | ASUSTeK COMPUTER INC. FA607PI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HX with Radeon Graphics |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8642
1.61 KIPS |
|
|
Image Classification (HP)
|
99% |
14025
2.62 KIPS |
|
|
Image Classification (Q)
|
100% |
7829
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15340
248.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20635
334.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13955
226.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
120873
141.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
323088
377.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
105983
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
10198
808.9 IPS |
|
|
Object Detection (HP)
|
100% |
17182
1.36 KIPS |
|
|
Object Detection (Q)
|
85% |
8917
717.9 IPS |
|
|
Face Detection (SP)
|
100% |
24983
296.8 IPS |
|
|
Face Detection (HP)
|
100% |
39776
472.6 IPS |
|
|
Face Detection (Q)
|
97% |
22233
265.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
50563
389.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
89291
687.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
41078
328.3 IPS |
|
|
Style Transfer (SP)
|
100% |
190315
244.7 IPS |
|
|
Style Transfer (HP)
|
100% |
447387
575.1 IPS |
|
|
Style Transfer (Q)
|
98% |
170576
220.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37067
1.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54301
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26378
976.7 IPS |
|
|
Text Classification (SP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
3719
4.96 KIPS |
|
|
Text Classification (Q)
|
97% |
1916
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4179
72.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4507
77.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1907
35.8 IPS |
