ASUS System Product Name
Geekbench AI Score
6927
Single Precision Score
6971
Half Precision Score
12783
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dennis_dydx |
| Upload Date | December 29 2024 10:59 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900K |
| 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% |
4043
751.8 IPS |
|
|
Image Classification (HP)
|
100% |
4140
769.9 IPS |
|
|
Image Classification (Q)
|
100% |
7921
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5432
88.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5446
88.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8144
132.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11658
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
11657
13.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
26082
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
3858
306.0 IPS |
|
|
Object Detection (HP)
|
100% |
3878
307.6 IPS |
|
|
Object Detection (Q)
|
88% |
8348
669.2 IPS |
|
|
Face Detection (SP)
|
100% |
12685
150.7 IPS |
|
|
Face Detection (HP)
|
100% |
12654
150.4 IPS |
|
|
Face Detection (Q)
|
100% |
20662
245.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12179
93.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10999
84.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
23113
179.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33575
43.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33550
43.1 IPS |
|
|
Style Transfer (Q)
|
98% |
72808
93.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5648
208.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6046
223.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13423
497.1 IPS |
|
|
Text Classification (SP)
|
100% |
2876
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2814
3.76 KIPS |
|
|
Text Classification (Q)
|
92% |
5374
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3058
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3347
57.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3308
57.0 IPS |
