Micro-Star International Co., Ltd. Katana A15 AI B8VG
Geekbench AI Score
8017
Single Precision Score
11314
Half Precision Score
5994
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | landsverk |
| Upload Date | January 30 2025 08:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD 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 | 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% |
3206
596.2 IPS |
|
|
Image Classification (HP)
|
100% |
4545
845.1 IPS |
|
|
Image Classification (Q)
|
100% |
2921
543.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3884
63.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4630
75.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3166
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
41229
48.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
70234
82.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
29314
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
2824
224.0 IPS |
|
|
Object Detection (HP)
|
100% |
3938
312.3 IPS |
|
|
Object Detection (Q)
|
87% |
2581
207.3 IPS |
|
|
Face Detection (SP)
|
100% |
6053
71.9 IPS |
|
|
Face Detection (HP)
|
100% |
10810
128.4 IPS |
|
|
Face Detection (Q)
|
97% |
5131
61.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17295
133.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
26450
203.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
13897
111.4 IPS |
|
|
Style Transfer (SP)
|
100% |
69013
88.7 IPS |
|
|
Style Transfer (HP)
|
100% |
110753
142.4 IPS |
|
|
Style Transfer (Q)
|
98% |
45665
58.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13403
494.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20097
742.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8852
327.8 IPS |
|
|
Text Classification (SP)
|
100% |
2502
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2819
3.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1780
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3125
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3292
56.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1670
31.3 IPS |
