ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MI_GU605MI
Geekbench AI Score
6644
Single Precision Score
10132
Half Precision Score
14708
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 02:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
3808
708.1 IPS |
|
|
Image Classification (HP)
|
100% |
6025
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
7124
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4461
72.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9494
153.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13066
211.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16992
19.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
16788
19.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
55086
64.5 IPS |
|
|
Object Detection (SP)
|
100% |
3900
309.3 IPS |
|
|
Object Detection (HP)
|
100% |
6227
493.9 IPS |
|
|
Object Detection (Q)
|
88% |
8536
684.0 IPS |
|
|
Face Detection (SP)
|
100% |
9626
114.4 IPS |
|
|
Face Detection (HP)
|
100% |
18504
219.9 IPS |
|
|
Face Detection (Q)
|
100% |
26640
316.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15555
119.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
26161
202.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
27826
216.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43887
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
55039
70.8 IPS |
|
|
Style Transfer (Q)
|
98% |
127075
163.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6688
247.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11545
426.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17498
648.0 IPS |
|
|
Text Classification (SP)
|
71% |
1472
2.13 KIPS |
|
|
Text Classification (HP)
|
71% |
2093
3.03 KIPS |
|
|
Text Classification (Q)
|
92% |
2131
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2303
39.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2964
51.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3082
53.1 IPS |
