Mac mini (2023)
Geekbench ML Score
1948
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 22 2024 07:53 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.1 (Build 23B74) |
| 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% |
1129
211.2 IPS |
|
|
Image Classification (F16)
|
100% |
1127
210.9 IPS |
|
|
Image Classification (I8)
|
99% |
1126
210.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
550
9.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
501
8.36 IPS |
|
|
Image Segmentation (I8)
|
100% |
502
8.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
5758
6.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
11146
13.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11467
13.9 IPS |
|
|
Object Detection (F32)
|
100% |
1216
90.8 IPS |
|
|
Object Detection (F16)
|
100% |
1242
92.8 IPS |
|
|
Object Detection (I8)
|
97% |
1219
91.0 IPS |
|
|
Face Detection (F32)
|
100% |
2165
25.7 IPS |
|
|
Face Detection (F16)
|
100% |
1826
21.7 IPS |
|
|
Face Detection (I8)
|
99% |
1925
22.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3669
28.4 IPS |
|
|
Depth Estimation (F16)
|
99% |
3908
30.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
3950
30.6 IPS |
|
|
Style Transfer (F32)
|
100% |
10982
14.4 IPS |
|
|
Style Transfer (F16)
|
100% |
13069
17.2 IPS |
|
|
Style Transfer (I8)
|
100% |
13094
17.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2951
105.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2407
85.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2753
98.3 IPS |
|
|
Text Classification (F32)
|
100% |
436
626.7 IPS |
|
|
Text Classification (F16)
|
100% |
514
738.7 IPS |
|
|
Text Classification (I8)
|
96% |
516
742.0 IPS |
|
|
Machine Translation (F32)
|
100% |
950
17.5 IPS |
|
|
Machine Translation (F16)
|
99% |
1097
20.2 IPS |
|
|
Machine Translation (I8)
|
99% |
955
17.6 IPS |
