Mac mini (2023)
Geekbench ML Score
4494
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 12:59 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 8 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1351
252.9 IPS |
|
|
Image Classification (F16)
|
100% |
2214
414.3 IPS |
|
|
Image Classification (I8)
|
99% |
2217
414.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1023
17.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1328
22.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1309
21.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
12456
15.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
23926
29.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
23942
29.0 IPS |
|
|
Object Detection (F32)
|
100% |
1543
115.2 IPS |
|
|
Object Detection (F16)
|
100% |
2364
176.5 IPS |
|
|
Object Detection (I8)
|
97% |
1541
115.0 IPS |
|
|
Face Detection (F32)
|
100% |
3483
41.4 IPS |
|
|
Face Detection (F16)
|
97% |
5556
66.1 IPS |
|
|
Face Detection (I8)
|
97% |
5587
66.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6242
48.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11937
92.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
12176
94.4 IPS |
|
|
Style Transfer (F32)
|
100% |
23993
31.6 IPS |
|
|
Style Transfer (F16)
|
100% |
37705
49.6 IPS |
|
|
Style Transfer (I8)
|
100% |
36757
48.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5257
187.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7162
255.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7118
254.2 IPS |
|
|
Text Classification (F32)
|
100% |
2112
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3552
5.10 KIPS |
|
|
Text Classification (I8)
|
96% |
3524
5.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1436
26.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1681
30.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1439
26.5 IPS |
