Micro-Star International Co., Ltd. Katana A15 AI B8VG
Geekbench AI Score
2912
Single Precision Score
1393
Half Precision Score
5896
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | landsverk |
| Upload Date | January 30 2025 08:27 AM |
| Views | 3 |
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 | Balansert |
| 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% |
2435
452.8 IPS |
|
|
Image Classification (HP)
|
100% |
557
103.7 IPS |
|
|
Image Classification (Q)
|
99% |
7265
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
905
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3042
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4845
5.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
4093
4.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
19700
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
2105
167.0 IPS |
|
|
Object Detection (HP)
|
100% |
548
43.5 IPS |
|
|
Object Detection (Q)
|
86% |
5123
411.7 IPS |
|
|
Face Detection (SP)
|
100% |
5184
61.6 IPS |
|
|
Face Detection (HP)
|
100% |
1517
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
9905
118.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6103
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2230
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6950
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10910
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9756
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
24072
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1961
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1770
65.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3196
118.4 IPS |
|
|
Text Classification (SP)
|
100% |
1616
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1756
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1788
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2450
49.2 IPS |
