ASUS System Product Name
Geekbench AI Score
14119
Single Precision Score
14111
Half Precision Score
33794
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | December 15 2024 03:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9701
1.80 KIPS |
|
|
Image Classification (HP)
|
100% |
9779
1.82 KIPS |
|
|
Image Classification (Q)
|
100% |
20575
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8990
145.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8981
145.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19373
314.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19379
22.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19385
22.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
75964
88.9 IPS |
|
|
Object Detection (SP)
|
100% |
8763
695.1 IPS |
|
|
Object Detection (HP)
|
100% |
8782
696.6 IPS |
|
|
Object Detection (Q)
|
88% |
21730
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
19753
234.7 IPS |
|
|
Face Detection (HP)
|
100% |
19535
232.1 IPS |
|
|
Face Detection (Q)
|
100% |
56415
670.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22047
169.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22007
169.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
67152
522.5 IPS |
|
|
Style Transfer (SP)
|
100% |
54203
69.7 IPS |
|
|
Style Transfer (HP)
|
100% |
54159
69.6 IPS |
|
|
Style Transfer (Q)
|
98% |
195210
251.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12087
446.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12085
446.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36008
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
7436
9.92 KIPS |
|
|
Text Classification (HP)
|
100% |
7413
9.89 KIPS |
|
|
Text Classification (Q)
|
92% |
9641
13.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
10019
172.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10039
172.9 IPS |
|
|
Machine Translation (Q)
|
100% |
11502
198.1 IPS |
