ASUS System Product Name
Geekbench AI Score
7916
Single Precision Score
7939
Half Precision Score
19326
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | September 18 2024 07:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5117
951.5 IPS |
|
|
Image Classification (HP)
|
100% |
5132
954.4 IPS |
|
|
Image Classification (Q)
|
100% |
11551
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4444
72.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4420
71.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11848
192.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9262
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9259
10.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
36180
42.4 IPS |
|
|
Object Detection (SP)
|
100% |
4998
396.4 IPS |
|
|
Object Detection (HP)
|
100% |
5000
396.6 IPS |
|
|
Object Detection (Q)
|
88% |
12663
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
16564
196.8 IPS |
|
|
Face Detection (HP)
|
100% |
16500
196.1 IPS |
|
|
Face Detection (Q)
|
100% |
33311
395.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12942
99.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13023
100.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
35618
277.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26012
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25925
33.3 IPS |
|
|
Style Transfer (Q)
|
98% |
91780
118.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5827
215.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5832
215.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18373
680.4 IPS |
|
|
Text Classification (SP)
|
100% |
4261
5.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4417
5.90 KIPS |
|
|
Text Classification (Q)
|
92% |
6651
8.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
6631
114.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6605
113.8 IPS |
|
|
Machine Translation (Q)
|
100% |
8715
150.1 IPS |
