ASUS System Product Name
Geekbench AI Score
5097
Single Precision Score
5096
Half Precision Score
13313
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ragnarokchan |
| Upload Date | August 16 2024 01:27 PM |
| Views | 15 |
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% |
3210
597.0 IPS |
|
|
Image Classification (HP)
|
100% |
3326
618.6 IPS |
|
|
Image Classification (Q)
|
100% |
7741
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4325
70.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4057
65.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7614
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8816
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8846
10.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
28789
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
2910
230.8 IPS |
|
|
Object Detection (HP)
|
100% |
2931
232.5 IPS |
|
|
Object Detection (Q)
|
88% |
8476
679.4 IPS |
|
|
Face Detection (SP)
|
100% |
9813
116.6 IPS |
|
|
Face Detection (HP)
|
100% |
9792
116.3 IPS |
|
|
Face Detection (Q)
|
100% |
20711
246.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8904
68.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
8817
67.9 IPS |
|
|
Depth Estimation (Q)
|
80% |
22501
178.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25577
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25240
32.4 IPS |
|
|
Style Transfer (Q)
|
98% |
78446
101.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4445
164.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4381
161.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14518
537.7 IPS |
|
|
Text Classification (SP)
|
100% |
1382
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1461
1.95 KIPS |
|
|
Text Classification (Q)
|
92% |
4188
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2425
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2421
41.7 IPS |
|
|
Machine Translation (Q)
|
85% |
5474
95.8 IPS |
