MacBook Pro (13-inch, 2022)
Geekbench ML Score
3872
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 27 2025 07:59 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5206s) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.47 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% |
1269
237.5 IPS |
|
|
Image Classification (F16)
|
100% |
2280
426.6 IPS |
|
|
Image Classification (I8)
|
99% |
2209
413.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
817
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1185
19.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1155
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6506
7.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
14599
17.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
14678
17.8 IPS |
|
|
Object Detection (F32)
|
100% |
1411
105.4 IPS |
|
|
Object Detection (F16)
|
100% |
2426
181.1 IPS |
|
|
Object Detection (I8)
|
97% |
1439
107.5 IPS |
|
|
Face Detection (F32)
|
100% |
2899
34.5 IPS |
|
|
Face Detection (F16)
|
97% |
5768
68.6 IPS |
|
|
Face Detection (I8)
|
97% |
5743
68.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5506
42.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10999
85.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
11006
85.4 IPS |
|
|
Style Transfer (F32)
|
100% |
18212
24.0 IPS |
|
|
Style Transfer (F16)
|
100% |
28626
37.7 IPS |
|
|
Style Transfer (I8)
|
100% |
28595
37.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4170
148.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5318
189.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5290
188.9 IPS |
|
|
Text Classification (F32)
|
100% |
2106
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3510
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3485
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1383
25.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1644
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1358
25.0 IPS |
