Micro-Star International Co., Ltd. Katana A15 AI B8VG
Geekbench AI Score
4271
Single Precision Score
4302
Half Precision Score
13060
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Chifo71 |
| Upload Date | November 25 2024 08:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana A15 AI B8VG |
| Motherboard | Micro-Star International Co., Ltd. MS-158N |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3073
571.5 IPS |
|
|
Image Classification (HP)
|
100% |
3112
578.7 IPS |
|
|
Image Classification (Q)
|
100% |
9545
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1722
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1776
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6752
109.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5009
5.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
5230
6.10 IPS |
|
|
Pose Estimation (Q)
|
98% |
20694
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
2639
209.3 IPS |
|
|
Object Detection (HP)
|
100% |
2775
220.1 IPS |
|
|
Object Detection (Q)
|
88% |
9446
757.2 IPS |
|
|
Face Detection (SP)
|
100% |
5355
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
5558
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
22754
270.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6766
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7014
54.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
23355
181.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14684
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13853
17.8 IPS |
|
|
Style Transfer (Q)
|
98% |
55245
71.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3788
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3318
122.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12356
457.6 IPS |
|
|
Text Classification (SP)
|
100% |
3643
4.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3856
5.15 KIPS |
|
|
Text Classification (Q)
|
92% |
5518
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3935
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3926
67.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5725
98.6 IPS |
