ASUS System Product Name
Geekbench AI Score
6426
Single Precision Score
6441
Half Precision Score
16895
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MOSTAFA_ABBASI |
| Upload Date | February 14 2025 04:05 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3959
736.2 IPS |
|
|
Image Classification (HP)
|
100% |
3950
734.5 IPS |
|
|
Image Classification (Q)
|
100% |
10390
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4342
70.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4354
70.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11117
180.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7356
8.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
7342
8.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
28676
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
3939
312.4 IPS |
|
|
Object Detection (HP)
|
100% |
3979
315.6 IPS |
|
|
Object Detection (Q)
|
88% |
11128
892.0 IPS |
|
|
Face Detection (SP)
|
100% |
10957
130.2 IPS |
|
|
Face Detection (HP)
|
100% |
10977
130.4 IPS |
|
|
Face Detection (Q)
|
100% |
28550
339.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9894
76.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9897
76.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
29451
229.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20493
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20393
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
75230
97.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4688
173.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4691
173.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15084
558.6 IPS |
|
|
Text Classification (SP)
|
100% |
3628
4.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3645
4.87 KIPS |
|
|
Text Classification (Q)
|
92% |
6183
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
6389
110.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6458
111.2 IPS |
|
|
Machine Translation (Q)
|
100% |
8716
150.1 IPS |
