Mac mini (2023)
Geekbench ML Score
3516
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 05:36 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac mini (2023) |
| Model ID | Mac14,3 |
| Motherboard | Mac14,3 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1500
280.7 IPS |
|
|
Image Classification (F16)
|
100% |
1910
357.4 IPS |
|
|
Image Classification (I8)
|
99% |
1912
357.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
803
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
811
13.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
807
13.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5925
7.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
14120
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14104
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1493
111.5 IPS |
|
|
Object Detection (F16)
|
100% |
2073
154.8 IPS |
|
|
Object Detection (I8)
|
97% |
1498
111.9 IPS |
|
|
Face Detection (F32)
|
100% |
2853
33.9 IPS |
|
|
Face Detection (F16)
|
97% |
4390
52.2 IPS |
|
|
Face Detection (I8)
|
97% |
4383
52.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5434
42.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
8784
68.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
8751
67.9 IPS |
|
|
Style Transfer (F32)
|
100% |
17181
22.6 IPS |
|
|
Style Transfer (F16)
|
100% |
26900
35.4 IPS |
|
|
Style Transfer (I8)
|
100% |
26939
35.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3851
137.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5228
186.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5083
181.5 IPS |
|
|
Text Classification (F32)
|
100% |
2133
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3064
4.40 KIPS |
|
|
Text Classification (I8)
|
96% |
3059
4.40 KIPS |
|
|
Machine Translation (F32)
|
100% |
1293
23.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1569
28.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1292
23.8 IPS |
