ASUS System Product Name
Geekbench AI Score
4976
Single Precision Score
5175
Half Precision Score
12681
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | rgba |
| Upload Date | August 19 2024 09:25 AM |
| Views | 15 |
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% |
3414
634.9 IPS |
|
|
Image Classification (HP)
|
100% |
3522
654.9 IPS |
|
|
Image Classification (Q)
|
100% |
7511
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3921
63.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3968
64.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7069
114.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6648
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
6666
7.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
24416
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2243
177.9 IPS |
|
|
Object Detection (HP)
|
100% |
3329
264.0 IPS |
|
|
Object Detection (Q)
|
88% |
7927
635.4 IPS |
|
|
Face Detection (SP)
|
100% |
5752
68.4 IPS |
|
|
Face Detection (HP)
|
100% |
5736
68.2 IPS |
|
|
Face Detection (Q)
|
100% |
19548
232.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8717
67.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
8863
68.3 IPS |
|
|
Depth Estimation (Q)
|
80% |
21226
168.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19982
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19777
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
67644
87.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4243
156.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4161
153.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12909
478.1 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (Q)
|
92% |
4614
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4811
82.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4755
81.9 IPS |
|
|
Machine Translation (Q)
|
85% |
6262
109.6 IPS |
