AMD BirmanPlus-STX
Geekbench AI Score
4634
Single Precision Score
4612
Half Precision Score
11670
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 03 2024 06:09 AM |
| Views | 59 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AMD BirmanPlus-STX |
| Motherboard | STX Beluga_SKF |
| Power Plan | AVT powerscheme |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 w/ Radeon 880M |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2651
492.9 IPS |
|
|
Image Classification (HP)
|
100% |
2622
487.7 IPS |
|
|
Image Classification (Q)
|
100% |
7199
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2295
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6722
109.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7083
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
7063
8.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
27452
32.1 IPS |
|
|
Object Detection (SP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (HP)
|
100% |
2733
216.8 IPS |
|
|
Object Detection (Q)
|
88% |
7642
612.6 IPS |
|
|
Face Detection (SP)
|
100% |
8252
98.0 IPS |
|
|
Face Detection (HP)
|
100% |
8361
99.3 IPS |
|
|
Face Detection (Q)
|
100% |
20300
241.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8038
61.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
7917
61.0 IPS |
|
|
Depth Estimation (Q)
|
80% |
19510
154.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18170
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
18261
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
66795
86.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3638
134.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3667
135.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12189
451.4 IPS |
|
|
Text Classification (SP)
|
100% |
2376
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2464
3.29 KIPS |
|
|
Text Classification (Q)
|
92% |
3207
4.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3662
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3435
59.2 IPS |
|
|
Machine Translation (Q)
|
85% |
4465
78.0 IPS |
