System manufacturer System Product Name
Geekbench AI Score
3676
Single Precision Score
3534
Half Precision Score
4546
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 05:48 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 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-F GAMING |
| Power Plan | AMD Ryzen Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2222
413.3 IPS |
|
|
Image Classification (HP)
|
100% |
2230
414.7 IPS |
|
|
Image Classification (Q)
|
100% |
3020
561.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1894
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1800
29.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3798
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5546
6.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3980
4.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
7358
8.63 IPS |
|
|
Object Detection (SP)
|
100% |
2243
177.9 IPS |
|
|
Object Detection (HP)
|
100% |
2252
178.7 IPS |
|
|
Object Detection (Q)
|
87% |
3029
243.0 IPS |
|
|
Face Detection (SP)
|
100% |
4106
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
4060
48.2 IPS |
|
|
Face Detection (Q)
|
97% |
9308
111.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6492
50.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6449
49.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
8273
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15685
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15666
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20931
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3017
111.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3006
111.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4223
156.4 IPS |
|
|
Text Classification (SP)
|
100% |
2464
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2516
3.36 KIPS |
|
|
Text Classification (Q)
|
91% |
786
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2776
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2726
47.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2762
47.6 IPS |
