ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MI_GU605MI
Geekbench AI Score
2751
Single Precision Score
2700
Half Precision Score
7226
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 09:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MI_GU605MI |
| Motherboard | ASUSTeK COMPUTER INC. GU605MI |
| Power Plan | Silent |
| 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% |
1613
300.0 IPS |
|
|
Image Classification (HP)
|
100% |
1561
290.3 IPS |
|
|
Image Classification (Q)
|
100% |
4755
884.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2388
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2686
43.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5025
81.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4544
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4435
5.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
15967
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
1382
109.6 IPS |
|
|
Object Detection (HP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (Q)
|
88% |
3942
316.0 IPS |
|
|
Face Detection (SP)
|
100% |
5114
60.8 IPS |
|
|
Face Detection (HP)
|
100% |
4711
56.0 IPS |
|
|
Face Detection (Q)
|
100% |
9673
114.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4603
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3829
29.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
10901
84.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12994
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13338
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
47959
61.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2392
88.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2481
91.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8681
321.5 IPS |
|
|
Text Classification (SP)
|
100% |
693
924.9 IPS |
|
|
Text Classification (HP)
|
100% |
765
1.02 KIPS |
|
|
Text Classification (Q)
|
92% |
3125
4.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2031
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1855
31.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1883
32.4 IPS |
