Mac mini (2023)
Geekbench ML Score
3409
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | aureozanon |
| Upload Date | May 09 2024 06:36 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% |
1438
269.2 IPS |
|
|
Image Classification (F16)
|
100% |
1826
341.6 IPS |
|
|
Image Classification (I8)
|
99% |
1816
339.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
763
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
781
13.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
785
13.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5924
7.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
14048
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14014
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1466
109.4 IPS |
|
|
Object Detection (F16)
|
100% |
1954
145.9 IPS |
|
|
Object Detection (I8)
|
97% |
1459
108.9 IPS |
|
|
Face Detection (F32)
|
100% |
2770
32.9 IPS |
|
|
Face Detection (F16)
|
97% |
4244
50.5 IPS |
|
|
Face Detection (I8)
|
97% |
4178
49.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5308
41.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8464
65.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
8446
65.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16722
22.0 IPS |
|
|
Style Transfer (F16)
|
100% |
26015
34.2 IPS |
|
|
Style Transfer (I8)
|
100% |
25991
34.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3789
135.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4995
178.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4984
178.0 IPS |
|
|
Text Classification (F32)
|
100% |
2033
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3059
4.40 KIPS |
|
|
Text Classification (I8)
|
96% |
3033
4.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
1241
22.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1510
27.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1251
23.0 IPS |
