ASUS System Product Name
Geekbench AI Score
5068
Single Precision Score
5122
Half Precision Score
11788
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | rgba |
| Upload Date | August 15 2024 08:03 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13600K |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-G GAMING WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3422
636.4 IPS |
|
|
Image Classification (HP)
|
100% |
3515
653.7 IPS |
|
|
Image Classification (Q)
|
100% |
7508
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3895
63.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3875
62.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6933
112.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6659
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
6661
7.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
24460
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3220
255.4 IPS |
|
|
Object Detection (HP)
|
100% |
3209
254.6 IPS |
|
|
Object Detection (Q)
|
88% |
4728
379.0 IPS |
|
|
Face Detection (SP)
|
100% |
5613
66.7 IPS |
|
|
Face Detection (HP)
|
100% |
5822
69.2 IPS |
|
|
Face Detection (Q)
|
100% |
19269
229.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8517
65.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
8728
67.2 IPS |
|
|
Depth Estimation (Q)
|
80% |
20543
162.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19841
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19853
25.5 IPS |
|
|
Style Transfer (Q)
|
98% |
65648
84.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4108
151.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4134
152.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12697
470.2 IPS |
|
|
Text Classification (SP)
|
100% |
2181
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (Q)
|
92% |
4351
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4603
79.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4592
79.1 IPS |
|
|
Machine Translation (Q)
|
85% |
5995
104.9 IPS |
