Mac mini (2023)
Geekbench ML Score
3391
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | aureozanon |
| Upload Date | May 09 2024 06:37 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F5074a) |
| 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 | 3.30 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% |
1441
269.6 IPS |
|
|
Image Classification (F16)
|
100% |
1827
342.0 IPS |
|
|
Image Classification (I8)
|
99% |
1834
343.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
777
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
777
13.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
778
13.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5904
7.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
14073
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14060
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1466
109.4 IPS |
|
|
Object Detection (F16)
|
100% |
1956
146.0 IPS |
|
|
Object Detection (I8)
|
97% |
1462
109.2 IPS |
|
|
Face Detection (F32)
|
100% |
2803
33.3 IPS |
|
|
Face Detection (F16)
|
97% |
4216
50.1 IPS |
|
|
Face Detection (I8)
|
97% |
4205
50.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5312
41.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8446
65.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
8451
65.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16716
22.0 IPS |
|
|
Style Transfer (F16)
|
100% |
26059
34.3 IPS |
|
|
Style Transfer (I8)
|
100% |
25991
34.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3784
135.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4979
177.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5040
180.0 IPS |
|
|
Text Classification (F32)
|
100% |
1999
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
2773
3.99 KIPS |
|
|
Text Classification (I8)
|
96% |
2767
3.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
1257
23.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1506
27.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1248
23.0 IPS |
