ASRock B650M PG Lightning
Geekbench AI Score
2737
Single Precision Score
2739
Half Precision Score
1896
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | May 10 2025 04:14 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | ASRock B650M PG Lightning |
| Motherboard | ASRock B650M PG Lightning |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.18 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 91.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
2082
387.2 IPS |
|
|
Image Classification (Q)
|
99% |
1487
277.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2969
48.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2972
48.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1280
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3288
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3278
3.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
3892
4.56 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.0 IPS |
|
|
Object Detection (HP)
|
100% |
1800
142.7 IPS |
|
|
Object Detection (Q)
|
85% |
1305
105.1 IPS |
|
|
Face Detection (SP)
|
100% |
3372
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
3400
40.4 IPS |
|
|
Face Detection (Q)
|
97% |
2970
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3266
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3255
25.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2367
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3561
4.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3592
4.62 IPS |
|
|
Style Transfer (Q)
|
98% |
6761
8.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2065
76.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2051
75.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1827
67.7 IPS |
|
|
Text Classification (SP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
2364
3.16 KIPS |
|
|
Text Classification (Q)
|
92% |
959
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3372
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3380
58.2 IPS |
|
|
Machine Translation (Q)
|
58% |
747
17.5 IPS |
