ASUS System Product Name
Geekbench AI Score
13505
Single Precision Score
13511
Half Precision Score
31161
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | vassourabfc |
| Upload Date | January 04 2025 06:13 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-I GAMING WIFI |
| Power Plan | Desempenho Mximo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8787
1.63 KIPS |
|
|
Image Classification (HP)
|
100% |
8852
1.65 KIPS |
|
|
Image Classification (Q)
|
100% |
18600
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8623
139.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8598
139.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18688
302.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17651
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17802
20.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
69784
81.7 IPS |
|
|
Object Detection (SP)
|
100% |
9056
718.3 IPS |
|
|
Object Detection (HP)
|
100% |
8783
696.6 IPS |
|
|
Object Detection (Q)
|
88% |
20867
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
22247
264.3 IPS |
|
|
Face Detection (HP)
|
100% |
22171
263.4 IPS |
|
|
Face Detection (Q)
|
100% |
50996
605.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23421
180.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
23735
182.9 IPS |
|
|
Depth Estimation (Q)
|
80% |
60985
483.3 IPS |
|
|
Style Transfer (SP)
|
100% |
49923
64.2 IPS |
|
|
Style Transfer (HP)
|
100% |
50397
64.8 IPS |
|
|
Style Transfer (Q)
|
98% |
175763
226.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11024
407.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11114
410.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32419
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
6191
8.26 KIPS |
|
|
Text Classification (HP)
|
100% |
6430
8.58 KIPS |
|
|
Text Classification (Q)
|
92% |
8824
11.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
9391
161.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8991
154.9 IPS |
|
|
Machine Translation (Q)
|
85% |
10907
190.7 IPS |
