ASUS System Product Name
Geekbench AI Score
6588
Single Precision Score
9303
Half Precision Score
4783
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | bloghtpc |
| Upload Date | September 22 2024 08:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1972
366.8 IPS |
|
|
Image Classification (HP)
|
100% |
4079
758.6 IPS |
|
|
Image Classification (Q)
|
100% |
1756
326.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3548
57.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4639
75.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2934
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
35709
41.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
62117
72.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
26228
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
2176
172.6 IPS |
|
|
Object Detection (HP)
|
100% |
3165
251.0 IPS |
|
|
Object Detection (Q)
|
89% |
1770
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
4845
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
8613
102.3 IPS |
|
|
Face Detection (Q)
|
97% |
3763
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14454
111.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
21567
166.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
10875
87.7 IPS |
|
|
Style Transfer (SP)
|
100% |
60104
77.3 IPS |
|
|
Style Transfer (HP)
|
100% |
98699
126.9 IPS |
|
|
Style Transfer (Q)
|
98% |
41070
53.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11522
425.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11313
417.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6937
256.9 IPS |
|
|
Text Classification (SP)
|
100% |
2531
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (Q)
|
97% |
1827
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2308
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2132
36.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1231
27.5 IPS |
