ASUS System Product Name
Geekbench AI Score
9541
Single Precision Score
9529
Half Precision Score
21125
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ronbesy65 |
| Upload Date | October 02 2024 09:03 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5338
992.7 IPS |
|
|
Image Classification (HP)
|
100% |
5397
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
11352
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5438
88.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5443
88.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11182
181.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17010
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
16985
19.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
67411
78.9 IPS |
|
|
Object Detection (SP)
|
100% |
5766
457.4 IPS |
|
|
Object Detection (HP)
|
100% |
5846
463.7 IPS |
|
|
Object Detection (Q)
|
88% |
13015
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
15164
180.2 IPS |
|
|
Face Detection (HP)
|
100% |
14997
178.2 IPS |
|
|
Face Detection (Q)
|
100% |
35779
425.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17122
131.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
16523
127.3 IPS |
|
|
Depth Estimation (Q)
|
80% |
44000
348.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43813
56.3 IPS |
|
|
Style Transfer (HP)
|
100% |
43888
56.4 IPS |
|
|
Style Transfer (Q)
|
98% |
155802
200.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8693
321.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8690
320.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25338
938.4 IPS |
|
|
Text Classification (SP)
|
100% |
4081
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4177
5.57 KIPS |
|
|
Text Classification (Q)
|
92% |
4656
6.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
5444
93.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5364
92.4 IPS |
|
|
Machine Translation (Q)
|
85% |
5494
96.0 IPS |
