Micro-Star International Co., Ltd. Katana A15 AI B8VG
Geekbench AI Score
3316
Single Precision Score
1548
Half Precision Score
6068
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 04:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2962
550.9 IPS |
|
|
Image Classification (HP)
|
100% |
603
112.2 IPS |
|
|
Image Classification (Q)
|
99% |
7935
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1277
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3160
51.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5955
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4995
5.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
20968
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
2607
206.8 IPS |
|
|
Object Detection (HP)
|
100% |
763
60.5 IPS |
|
|
Object Detection (Q)
|
86% |
5991
481.5 IPS |
|
|
Face Detection (SP)
|
100% |
4914
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
1579
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
9721
115.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5891
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2282
17.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7062
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10617
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10096
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26711
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2477
91.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2060
76.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3541
131.1 IPS |
|
|
Text Classification (SP)
|
100% |
1854
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
738
984.4 IPS |
|
|
Text Classification (Q)
|
97% |
1629
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1944
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2032
40.8 IPS |
