ASRock X600M-STX
Geekbench AI Score
6869
Single Precision Score
6878
Half Precision Score
18892
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Wakeful |
| Upload Date | November 18 2024 05:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASRock X600M-STX |
| Motherboard | ASRock X600M-STX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4805
893.7 IPS |
|
|
Image Classification (HP)
|
100% |
4860
903.8 IPS |
|
|
Image Classification (Q)
|
100% |
11597
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10870
176.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9279
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9262
10.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
36389
42.6 IPS |
|
|
Object Detection (SP)
|
100% |
4401
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
4277
339.3 IPS |
|
|
Object Detection (Q)
|
88% |
12758
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
11544
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
11629
138.2 IPS |
|
|
Face Detection (Q)
|
100% |
32502
386.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12046
92.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12059
92.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
33269
258.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25551
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24887
32.0 IPS |
|
|
Style Transfer (Q)
|
98% |
94768
122.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5661
209.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5607
207.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18260
676.2 IPS |
|
|
Text Classification (SP)
|
100% |
4414
5.89 KIPS |
|
|
Text Classification (HP)
|
100% |
4404
5.88 KIPS |
|
|
Text Classification (Q)
|
92% |
6189
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
6520
112.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6528
112.5 IPS |
|
|
Machine Translation (Q)
|
100% |
8546
147.2 IPS |
