Micro-Star International Co., Ltd. Delta 15 A5EFK
Geekbench ML Score
8804
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 30 2025 05:41 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Delta 15 A5EFK |
| Motherboard | Micro-Star International Co., Ltd. MS-15CK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700M |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5619
1.05 KIPS |
|
|
Image Classification (F16)
|
100% |
5222
977.2 IPS |
|
|
Image Classification (I8)
|
100% |
5213
975.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
5729
95.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
6045
101.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
6428
107.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
89317
108.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
87618
106.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
79299
96.0 IPS |
|
|
Object Detection (F32)
|
100% |
1528
114.1 IPS |
|
|
Object Detection (F16)
|
100% |
2931
218.8 IPS |
|
|
Object Detection (I8)
|
62% |
1589
118.6 IPS |
|
|
Face Detection (F32)
|
100% |
16255
193.3 IPS |
|
|
Face Detection (F16)
|
100% |
16139
191.9 IPS |
|
|
Face Detection (I8)
|
89% |
13174
156.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
23827
184.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
23716
183.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
18126
140.6 IPS |
|
|
Style Transfer (F32)
|
100% |
84042
110.6 IPS |
|
|
Style Transfer (F16)
|
100% |
84948
111.7 IPS |
|
|
Style Transfer (I8)
|
98% |
76322
100.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8573
306.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7607
271.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7181
256.4 IPS |
|
|
Text Classification (F32)
|
100% |
1584
2.28 KIPS |
|
|
Text Classification (F16)
|
100% |
1564
2.25 KIPS |
|
|
Text Classification (I8)
|
98% |
1297
1.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
1461
26.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1832
33.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1879
34.6 IPS |
