Micro-Star International Co., Ltd. Katana A15 AI B8VG
Geekbench AI Score
5382
Single Precision Score
5485
Half Precision Score
15028
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | landsverk |
| Upload Date | January 30 2025 08:31 AM |
| Views | 7 |
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 | 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% |
3340
621.1 IPS |
|
|
Image Classification (HP)
|
100% |
3273
608.7 IPS |
|
|
Image Classification (Q)
|
100% |
9702
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3215
52.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3813
61.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10401
168.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7227
8.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
7226
8.43 IPS |
|
|
Pose Estimation (Q)
|
98% |
29203
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
2996
237.6 IPS |
|
|
Object Detection (HP)
|
100% |
3103
246.1 IPS |
|
|
Object Detection (Q)
|
88% |
9631
772.0 IPS |
|
|
Face Detection (SP)
|
100% |
7608
90.4 IPS |
|
|
Face Detection (HP)
|
100% |
7825
93.0 IPS |
|
|
Face Detection (Q)
|
100% |
24966
296.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8842
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8822
68.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
23378
181.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20526
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20083
25.8 IPS |
|
|
Style Transfer (Q)
|
98% |
78826
101.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3948
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4024
148.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14875
550.9 IPS |
|
|
Text Classification (SP)
|
100% |
3788
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3701
4.94 KIPS |
|
|
Text Classification (Q)
|
92% |
5894
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4251
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4266
73.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5132
88.4 IPS |
