ASRock B650M-HDV/M.2
Geekbench AI Score
13384
Single Precision Score
13415
Half Precision Score
32318
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 30 2024 12:57 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N (64-bit) |
| Model | ASRock B650M-HDV/M.2 |
| Motherboard | ASRock B650M-HDV/M.2 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9242
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
9306
1.73 KIPS |
|
|
Image Classification (Q)
|
100% |
18976
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8684
140.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8708
141.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18678
302.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18455
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18436
21.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
73574
86.1 IPS |
|
|
Object Detection (SP)
|
100% |
8416
667.6 IPS |
|
|
Object Detection (HP)
|
100% |
8373
664.2 IPS |
|
|
Object Detection (Q)
|
88% |
21895
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
17231
204.7 IPS |
|
|
Face Detection (HP)
|
100% |
16933
201.2 IPS |
|
|
Face Detection (Q)
|
100% |
53292
633.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21712
167.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21781
167.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
64299
500.3 IPS |
|
|
Style Transfer (SP)
|
100% |
51898
66.7 IPS |
|
|
Style Transfer (HP)
|
100% |
52087
67.0 IPS |
|
|
Style Transfer (Q)
|
98% |
188874
243.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11702
432.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11789
435.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33714
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
6819
9.10 KIPS |
|
|
Text Classification (HP)
|
100% |
7006
9.35 KIPS |
|
|
Text Classification (Q)
|
92% |
9006
12.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
9553
164.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9511
163.8 IPS |
|
|
Machine Translation (Q)
|
100% |
11079
190.8 IPS |
