ASUS System Product Name
Geekbench AI Score
11627
Single Precision Score
11758
Half Precision Score
30987
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kiyanbaux |
| Upload Date | April 27 2025 03:17 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-I GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7453
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7635
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
19496
3.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7955
129.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7967
129.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21511
348.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14486
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14690
17.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
59875
70.1 IPS |
|
|
Object Detection (SP)
|
100% |
7034
558.0 IPS |
|
|
Object Detection (HP)
|
100% |
7111
564.1 IPS |
|
|
Object Detection (Q)
|
88% |
20873
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
16118
191.5 IPS |
|
|
Face Detection (HP)
|
100% |
16178
192.2 IPS |
|
|
Face Detection (Q)
|
100% |
49061
583.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17300
133.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17607
135.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
55879
434.9 IPS |
|
|
Style Transfer (SP)
|
100% |
40818
52.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41191
53.0 IPS |
|
|
Style Transfer (Q)
|
98% |
151131
194.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9073
335.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9244
341.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29264
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
6450
8.61 KIPS |
|
|
Text Classification (HP)
|
100% |
6533
8.72 KIPS |
|
|
Text Classification (Q)
|
92% |
9073
12.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
11227
193.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11223
193.3 IPS |
|
|
Machine Translation (Q)
|
100% |
14160
243.9 IPS |
