System manufacturer System Product Name
Geekbench AI Score
1278
Single Precision Score
1273
Half Precision Score
1236
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | GyBHard |
| Upload Date | August 10 2025 07:25 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 3 1300X Quad-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF B450-PLUS GAMING |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 1300X |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
768
142.8 IPS |
|
|
Image Classification (HP)
|
100% |
750
139.4 IPS |
|
|
Image Classification (Q)
|
100% |
780
145.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
582
9.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
587
9.52 IPS |
|
|
Image Segmentation (Q)
|
99% |
680
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1546
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1549
1.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
1561
1.83 IPS |
|
|
Object Detection (SP)
|
100% |
769
61.0 IPS |
|
|
Object Detection (HP)
|
100% |
777
61.6 IPS |
|
|
Object Detection (Q)
|
87% |
797
63.9 IPS |
|
|
Face Detection (SP)
|
100% |
2003
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
1996
23.7 IPS |
|
|
Face Detection (Q)
|
97% |
2443
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2078
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2064
15.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
2032
16.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4430
5.70 IPS |
|
|
Style Transfer (HP)
|
100% |
4427
5.69 IPS |
|
|
Style Transfer (Q)
|
98% |
4512
5.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
931
34.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
918
33.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
967
35.8 IPS |
|
|
Text Classification (SP)
|
100% |
873
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
865
1.15 KIPS |
|
|
Text Classification (Q)
|
91% |
406
545.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1467
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1459
25.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1439
24.8 IPS |
