Macmini8,1
Geekbench ML Score
702
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| User | Marina |
| Upload Date | August 15 2024 04:35 PM |
| Views | 2 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
337
63.0 IPS |
|
|
Image Classification (F16)
|
100% |
346
64.8 IPS |
|
|
Image Classification (I8)
|
99% |
346
64.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
200
3.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
202
3.38 IPS |
|
|
Image Segmentation (I8)
|
100% |
197
3.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
1917
2.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
3346
4.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
3351
4.06 IPS |
|
|
Object Detection (F32)
|
100% |
333
24.8 IPS |
|
|
Object Detection (F16)
|
100% |
348
25.9 IPS |
|
|
Object Detection (I8)
|
97% |
400
29.9 IPS |
|
|
Face Detection (F32)
|
100% |
1078
12.8 IPS |
|
|
Face Detection (F16)
|
99% |
1023
12.2 IPS |
|
|
Face Detection (I8)
|
99% |
1020
12.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1403
10.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2151
16.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
2195
17.0 IPS |
|
|
Style Transfer (F32)
|
100% |
3296
4.34 IPS |
|
|
Style Transfer (F16)
|
100% |
4687
6.17 IPS |
|
|
Style Transfer (I8)
|
100% |
5390
7.09 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1050
37.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1423
50.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1476
52.7 IPS |
|
|
Text Classification (F32)
|
100% |
89
127.3 IPS |
|
|
Text Classification (F16)
|
100% |
108
154.6 IPS |
|
|
Text Classification (I8)
|
96% |
87
125.3 IPS |
|
|
Machine Translation (F32)
|
100% |
443
8.15 IPS |
|
|
Machine Translation (F16)
|
100% |
324
5.97 IPS |
|
|
Machine Translation (I8)
|
99% |
475
8.74 IPS |
