Macmini8,1
Geekbench ML Score
556
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| User | Marina |
| Upload Date | August 15 2024 04:31 PM |
| Views | 3 |
| Notes | intel NUC 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.6.4 (Build 22G513) |
| Model | Macmini8,1 |
| Model ID | Macmini8,1 |
| Motherboard | Acidanthera Mac-7BA5B2DFE22DDD8C Macmini8,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10710U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 166 Stepping 0 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
383
71.7 IPS |
|
|
Image Classification (F16)
|
100% |
276
51.6 IPS |
|
|
Image Classification (I8)
|
99% |
289
54.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
241
4.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
235
3.93 IPS |
|
|
Image Segmentation (I8)
|
100% |
241
4.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
1893
2.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
2024
2.45 IPS |
|
|
Pose Estimation (I8)
|
100% |
1888
2.29 IPS |
|
|
Object Detection (F32)
|
100% |
298
22.3 IPS |
|
|
Object Detection (F16)
|
100% |
253
18.9 IPS |
|
|
Object Detection (I8)
|
97% |
359
26.8 IPS |
|
|
Face Detection (F32)
|
100% |
623
7.41 IPS |
|
|
Face Detection (F16)
|
100% |
598
7.11 IPS |
|
|
Face Detection (I8)
|
99% |
582
6.92 IPS |
|
|
Depth Estimation (F32)
|
100% |
806
6.25 IPS |
|
|
Depth Estimation (F16)
|
100% |
633
4.91 IPS |
|
|
Depth Estimation (I8)
|
99% |
785
6.09 IPS |
|
|
Style Transfer (F32)
|
100% |
3004
3.95 IPS |
|
|
Style Transfer (F16)
|
100% |
2835
3.73 IPS |
|
|
Style Transfer (I8)
|
100% |
2905
3.82 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
927
33.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
967
34.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
922
32.9 IPS |
|
|
Text Classification (F32)
|
100% |
188
270.5 IPS |
|
|
Text Classification (F16)
|
100% |
94
134.4 IPS |
|
|
Text Classification (I8)
|
96% |
126
180.6 IPS |
|
|
Machine Translation (F32)
|
100% |
465
8.56 IPS |
|
|
Machine Translation (F16)
|
100% |
336
6.18 IPS |
|
|
Machine Translation (I8)
|
99% |
461
8.48 IPS |
