ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MY_GU605MY
Geekbench AI Score
2614
Single Precision Score
1056
Half Precision Score
2045
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | October 25 2024 10:33 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MY_GU605MY |
| Motherboard | ASUSTeK COMPUTER INC. GU605MY |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1037
192.8 IPS |
|
|
Image Classification (HP)
|
0% |
0
620.6 IPS |
|
|
Image Classification (Q)
|
99% |
945
176.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6332
102.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1190
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11926
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16963
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
10526
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1029
81.6 IPS |
|
|
Object Detection (HP)
|
0% |
0
270.1 IPS |
|
|
Object Detection (Q)
|
89% |
885
70.8 IPS |
|
|
Face Detection (SP)
|
100% |
1263
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
6823
81.1 IPS |
|
|
Face Detection (Q)
|
97% |
1145
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5954
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
15966
123.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
4853
39.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33724
43.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49968
64.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26446
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5718
211.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7109
262.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4082
151.2 IPS |
|
|
Text Classification (SP)
|
86% |
500
676.3 IPS |
|
|
Text Classification (HP)
|
99% |
354
472.2 IPS |
|
|
Text Classification (Q)
|
83% |
358
487.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1195
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (Q)
|
60% |
570
12.7 IPS |
