Generic
Geekbench AI Score
2682
Single Precision Score
2659
Half Precision Score
3979
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kinski |
| Upload Date | August 20 2024 04:16 PM |
| Views | 3 |
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% |
1786
332.2 IPS |
|
|
Image Classification (HP)
|
100% |
1740
323.6 IPS |
|
|
Image Classification (Q)
|
100% |
2739
509.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1041
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1027
16.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2967
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4587
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
4492
5.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
6934
8.13 IPS |
|
|
Object Detection (SP)
|
100% |
1788
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
1784
141.5 IPS |
|
|
Object Detection (Q)
|
87% |
2776
222.6 IPS |
|
|
Face Detection (SP)
|
100% |
3571
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
3573
42.5 IPS |
|
|
Face Detection (Q)
|
97% |
8642
103.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5318
41.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
5240
40.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
7909
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12344
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12244
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19745
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2424
89.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2344
86.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3948
146.2 IPS |
|
|
Text Classification (SP)
|
100% |
967
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1008
1.35 KIPS |
|
|
Text Classification (Q)
|
91% |
781
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2304
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2278
39.2 IPS |
|
|
Machine Translation (Q)
|
90% |
1529
26.6 IPS |
