To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
4472
Single Precision Score
4467
Half Precision Score
8424
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 15 2025 02:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (Xfce) |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRock B450 Pro4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.67 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2784
517.8 IPS |
|
|
Image Classification (HP)
|
100% |
2785
518.0 IPS |
|
|
Image Classification (Q)
|
100% |
5919
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3259
52.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3198
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6072
98.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5780
6.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
5795
6.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
14237
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2617
207.6 IPS |
|
|
Object Detection (HP)
|
100% |
2596
205.9 IPS |
|
|
Object Detection (Q)
|
87% |
5852
469.3 IPS |
|
|
Face Detection (SP)
|
100% |
5115
60.8 IPS |
|
|
Face Detection (HP)
|
100% |
5123
60.9 IPS |
|
|
Face Detection (Q)
|
97% |
15905
189.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6882
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6941
53.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
14348
113.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16507
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16400
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
40159
51.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3319
122.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3384
124.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8273
306.5 IPS |
|
|
Text Classification (SP)
|
100% |
2764
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2775
3.70 KIPS |
|
|
Text Classification (Q)
|
91% |
1845
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4382
75.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4318
74.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4301
74.1 IPS |
