ASUS System Product Name
Geekbench AI Score
2778
Single Precision Score
3967
Half Precision Score
6358
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ragnarokchan |
| Upload Date | August 16 2024 01:32 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1643
305.6 IPS |
|
|
Image Classification (HP)
|
100% |
2696
501.3 IPS |
|
|
Image Classification (Q)
|
99% |
3842
716.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2512
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4041
65.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4670
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4516
5.27 IPS |
|
|
Pose Estimation (HP)
|
99% |
3280
3.83 IPS |
|
|
Pose Estimation (Q)
|
97% |
13410
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
98% |
2428
193.2 IPS |
|
|
Object Detection (Q)
|
90% |
4409
352.5 IPS |
|
|
Face Detection (SP)
|
100% |
5384
64.0 IPS |
|
|
Face Detection (HP)
|
100% |
8220
97.7 IPS |
|
|
Face Detection (Q)
|
100% |
11141
132.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5345
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8900
68.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
12670
100.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11835
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18380
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31051
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2101
77.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3398
125.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6926
256.5 IPS |
|
|
Text Classification (SP)
|
71% |
1186
1.72 KIPS |
|
|
Text Classification (HP)
|
71% |
1497
2.17 KIPS |
|
|
Text Classification (Q)
|
92% |
1463
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1149
19.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1629
28.2 IPS |
|
|
Machine Translation (Q)
|
89% |
2293
39.9 IPS |
