Generic
Geekbench AI Score
2698
Single Precision Score
2685
Half Precision Score
4024
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kinski |
| Upload Date | August 20 2024 03:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 4750G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X300M-STX |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 4750G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1777
330.4 IPS |
|
|
Image Classification (HP)
|
100% |
1768
328.9 IPS |
|
|
Image Classification (Q)
|
100% |
2688
499.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1097
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1081
17.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3012
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4723
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
4603
5.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
6904
8.10 IPS |
|
|
Object Detection (SP)
|
100% |
1865
147.9 IPS |
|
|
Object Detection (HP)
|
100% |
1831
145.3 IPS |
|
|
Object Detection (Q)
|
87% |
2789
223.6 IPS |
|
|
Face Detection (SP)
|
100% |
3436
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
3522
41.8 IPS |
|
|
Face Detection (Q)
|
97% |
8751
104.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5449
42.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
5330
41.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
7829
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12006
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12349
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19577
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2454
90.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2430
89.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3988
147.7 IPS |
|
|
Text Classification (SP)
|
100% |
963
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
961
1.28 KIPS |
|
|
Text Classification (Q)
|
91% |
817
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2248
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2237
38.5 IPS |
|
|
Machine Translation (Q)
|
90% |
1637
28.4 IPS |
