ASUSTeK COMPUTER INC. ROG STRIX G16CH_G16CH
Geekbench AI Score
4737
Single Precision Score
4890
Half Precision Score
12070
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | September 29 2024 10:31 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG STRIX G16CH_G16CH |
| Motherboard | ASUSTeK COMPUTER INC. G16CH |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3978
739.8 IPS |
|
|
Image Classification (HP)
|
100% |
3758
699.0 IPS |
|
|
Image Classification (Q)
|
100% |
7840
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3727
60.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3852
62.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5690
92.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6845
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
8043
9.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
30210
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
3207
254.4 IPS |
|
|
Object Detection (HP)
|
100% |
2791
221.4 IPS |
|
|
Object Detection (Q)
|
88% |
7764
622.4 IPS |
|
|
Face Detection (SP)
|
100% |
6301
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
6338
75.3 IPS |
|
|
Face Detection (Q)
|
100% |
17345
206.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6008
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7139
55.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
18145
141.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19507
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19457
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
74020
95.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5238
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5204
192.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13938
516.2 IPS |
|
|
Text Classification (SP)
|
100% |
1141
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1369
1.83 KIPS |
|
|
Text Classification (Q)
|
92% |
4485
6.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3965
68.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3842
66.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4309
74.2 IPS |
