primeLine Solutions B650D4U
Geekbench AI Score
7950
Single Precision Score
7912
Half Precision Score
20074
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | LessPlum3393 |
| Upload Date | March 17 2025 10:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | primeLine Solutions B650D4U |
| Motherboard | ASRockRack B650D4U |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4590
853.5 IPS |
|
|
Image Classification (HP)
|
100% |
4500
836.9 IPS |
|
|
Image Classification (Q)
|
100% |
12433
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5982
97.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5766
93.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16493
267.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11756
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11890
13.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
47382
55.5 IPS |
|
|
Object Detection (SP)
|
100% |
4855
385.1 IPS |
|
|
Object Detection (HP)
|
100% |
4939
391.8 IPS |
|
|
Object Detection (Q)
|
88% |
13145
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
12723
151.2 IPS |
|
|
Face Detection (HP)
|
100% |
12119
144.0 IPS |
|
|
Face Detection (Q)
|
100% |
33545
398.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12394
95.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12558
96.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
37925
295.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31241
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31601
40.6 IPS |
|
|
Style Transfer (Q)
|
98% |
113541
146.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6661
246.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6772
250.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20343
753.4 IPS |
|
|
Text Classification (SP)
|
100% |
3410
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (Q)
|
92% |
4068
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5752
99.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5669
97.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6963
119.9 IPS |
