Micro-Star International Co., Ltd. Katana A15 AI B8VE
Geekbench AI Score
4100
Single Precision Score
3917
Half Precision Score
13160
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 12 2025 02:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana A15 AI B8VE |
| Motherboard | Micro-Star International Co., Ltd. MS-158N |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2464
458.2 IPS |
|
|
Image Classification (HP)
|
100% |
2096
389.7 IPS |
|
|
Image Classification (Q)
|
100% |
9947
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2999
48.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1897
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8385
135.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5575
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
5334
6.22 IPS |
|
|
Pose Estimation (Q)
|
98% |
20724
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
2103
166.8 IPS |
|
|
Object Detection (HP)
|
100% |
2280
180.8 IPS |
|
|
Object Detection (Q)
|
88% |
8827
707.6 IPS |
|
|
Face Detection (SP)
|
100% |
4625
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
4760
56.6 IPS |
|
|
Face Detection (Q)
|
100% |
22602
268.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6618
51.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6345
48.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
18992
147.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14527
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14805
19.0 IPS |
|
|
Style Transfer (Q)
|
98% |
70589
91.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3157
116.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3210
118.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11662
431.9 IPS |
|
|
Text Classification (SP)
|
100% |
3445
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
3760
5.02 KIPS |
|
|
Text Classification (Q)
|
92% |
5643
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3211
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3263
56.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5122
88.2 IPS |
