ASUS System Product Name
Geekbench AI Score
6019
Single Precision Score
6080
Half Precision Score
14837
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | October 24 2024 05:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-E GAMING WIFI |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4020
747.5 IPS |
|
|
Image Classification (HP)
|
100% |
4056
754.3 IPS |
|
|
Image Classification (Q)
|
100% |
9511
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4798
77.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4782
77.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9550
154.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9089
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9632
11.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
34656
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3660
290.3 IPS |
|
|
Object Detection (HP)
|
100% |
3719
295.0 IPS |
|
|
Object Detection (Q)
|
88% |
10219
819.2 IPS |
|
|
Face Detection (SP)
|
100% |
12125
144.1 IPS |
|
|
Face Detection (HP)
|
100% |
12138
144.2 IPS |
|
|
Face Detection (Q)
|
100% |
26119
310.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10676
82.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10856
83.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
29327
228.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26288
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26956
34.7 IPS |
|
|
Style Transfer (Q)
|
98% |
81070
104.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4927
181.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5056
186.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17375
643.4 IPS |
|
|
Text Classification (SP)
|
100% |
1800
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1831
2.44 KIPS |
|
|
Text Classification (Q)
|
92% |
4747
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3225
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3026
52.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3138
54.1 IPS |
