Micro-Star International Co., Ltd. Katana A17 AI B8VF
Geekbench AI Score
6849
Single Precision Score
10131
Half Precision Score
5330
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 12:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana A17 AI B8VF |
| Motherboard | Micro-Star International Co., Ltd. MS-17LN |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2572
478.4 IPS |
|
|
Image Classification (HP)
|
100% |
4169
775.3 IPS |
|
|
Image Classification (Q)
|
100% |
2480
461.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3935
63.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4878
79.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3161
51.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
37500
43.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
73486
85.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
27853
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
2597
206.0 IPS |
|
|
Object Detection (HP)
|
100% |
3639
288.6 IPS |
|
|
Object Detection (Q)
|
87% |
2347
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
5453
64.8 IPS |
|
|
Face Detection (HP)
|
100% |
9823
116.7 IPS |
|
|
Face Detection (Q)
|
97% |
4624
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15986
123.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
25666
197.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
12478
100.1 IPS |
|
|
Style Transfer (SP)
|
100% |
59822
76.9 IPS |
|
|
Style Transfer (HP)
|
100% |
105328
135.4 IPS |
|
|
Style Transfer (Q)
|
98% |
44547
57.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12344
455.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18600
686.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7917
293.2 IPS |
|
|
Text Classification (SP)
|
100% |
1176
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1375
1.83 KIPS |
|
|
Text Classification (Q)
|
97% |
1153
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3045
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3086
53.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1540
28.9 IPS |
