Generic
Geekbench AI Score
3181
Single Precision Score
3164
Half Precision Score
5724
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | XingGuobin |
| Upload Date | April 15 2025 09:23 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 LTSC (64-bit) |
| Model | Generic |
| Motherboard | ASRock X300M-STX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1975
367.3 IPS |
|
|
Image Classification (HP)
|
100% |
1983
368.8 IPS |
|
|
Image Classification (Q)
|
100% |
3759
699.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2191
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4019
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4028
4.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3808
4.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
9776
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1924
152.6 IPS |
|
|
Object Detection (HP)
|
100% |
1876
148.8 IPS |
|
|
Object Detection (Q)
|
87% |
3893
312.2 IPS |
|
|
Face Detection (SP)
|
100% |
3403
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
3356
39.9 IPS |
|
|
Face Detection (Q)
|
97% |
10382
123.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5085
39.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5057
39.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
10075
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11857
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11885
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27882
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2319
85.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2344
86.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5724
212.0 IPS |
|
|
Text Classification (SP)
|
100% |
2128
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2188
2.92 KIPS |
|
|
Text Classification (Q)
|
91% |
1328
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3164
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3137
54.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2965
51.1 IPS |
