ASUS System Product Name
Geekbench AI Score
2774
Single Precision Score
4056
Half Precision Score
6825
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | molaikull |
| Upload Date | September 04 2024 08:31 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| Power Plan | Performances optimales |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1688
313.9 IPS |
|
|
Image Classification (HP)
|
100% |
2842
528.5 IPS |
|
|
Image Classification (Q)
|
99% |
4522
843.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2509
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4024
65.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6188
100.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4435
5.17 IPS |
|
|
Pose Estimation (HP)
|
99% |
3297
3.85 IPS |
|
|
Pose Estimation (Q)
|
97% |
13872
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1520
120.6 IPS |
|
|
Object Detection (HP)
|
98% |
2486
197.8 IPS |
|
|
Object Detection (Q)
|
90% |
4569
365.3 IPS |
|
|
Face Detection (SP)
|
100% |
5191
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
8076
96.0 IPS |
|
|
Face Detection (Q)
|
100% |
11696
139.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5196
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8856
68.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
13198
104.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11748
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20133
25.9 IPS |
|
|
Style Transfer (Q)
|
98% |
31052
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2102
77.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3456
127.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6929
256.6 IPS |
|
|
Text Classification (SP)
|
71% |
1235
1.79 KIPS |
|
|
Text Classification (HP)
|
71% |
1499
2.17 KIPS |
|
|
Text Classification (Q)
|
92% |
1558
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1724
29.8 IPS |
|
|
Machine Translation (Q)
|
89% |
2391
41.6 IPS |
