ASUSTeK COMPUTER INC. ROG Strix G16 G614FH
Geekbench AI Score
6171
Single Precision Score
2272
Half Precision Score
10212
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 10:46 AM |
| Views | 284 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000001028-42_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G16 G614FH |
| Motherboard | ASUSTeK COMPUTER INC. G614FH |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000001028-42_Y |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4371
812.9 IPS |
|
|
Image Classification (HP)
|
100% |
687
127.8 IPS |
|
|
Image Classification (Q)
|
99% |
9333
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1860
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1031
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4481
72.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
23921
27.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14222
16.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
67921
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
4432
351.6 IPS |
|
|
Object Detection (HP)
|
100% |
846
67.1 IPS |
|
|
Object Detection (Q)
|
86% |
10879
874.3 IPS |
|
|
Face Detection (SP)
|
100% |
7438
88.4 IPS |
|
|
Face Detection (HP)
|
100% |
1805
21.5 IPS |
|
|
Face Detection (Q)
|
97% |
12562
149.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15167
116.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3378
26.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
24412
194.8 IPS |
|
|
Style Transfer (SP)
|
100% |
38444
49.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32393
41.6 IPS |
|
|
Style Transfer (Q)
|
98% |
37593
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3772
139.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3155
116.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5044
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
1943
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
829
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1759
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2926
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3906
78.5 IPS |
