Mac mini (2023)
Geekbench ML Score
3866
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 12:48 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1378
257.9 IPS |
|
|
Image Classification (F16)
|
100% |
2522
472.0 IPS |
|
|
Image Classification (I8)
|
99% |
2518
471.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
911
15.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1193
19.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1198
20.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6600
7.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
14304
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14203
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1353
101.0 IPS |
|
|
Object Detection (F16)
|
100% |
2471
184.4 IPS |
|
|
Object Detection (I8)
|
97% |
1434
107.1 IPS |
|
|
Face Detection (F32)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (F16)
|
97% |
5846
69.5 IPS |
|
|
Face Detection (I8)
|
97% |
5822
69.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5409
41.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
10972
85.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10897
84.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17447
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27003
35.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27074
35.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4154
148.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4923
175.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4954
176.9 IPS |
|
|
Text Classification (F32)
|
100% |
2046
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3579
5.14 KIPS |
|
|
Text Classification (I8)
|
96% |
3460
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
1336
24.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1487
27.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1333
24.5 IPS |
