MacBook Pro (13-inch, 2022)
Geekbench ML Score
3726
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 22 2025 05:48 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.48 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% |
1330
248.9 IPS |
|
|
Image Classification (F16)
|
100% |
2410
450.9 IPS |
|
|
Image Classification (I8)
|
99% |
2366
442.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
679
11.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1000
16.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1089
18.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6472
7.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
14410
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14181
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1340
100.1 IPS |
|
|
Object Detection (F16)
|
100% |
2253
168.2 IPS |
|
|
Object Detection (I8)
|
97% |
1339
99.9 IPS |
|
|
Face Detection (F32)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (F16)
|
97% |
5604
66.6 IPS |
|
|
Face Detection (I8)
|
97% |
5554
66.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5397
41.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
10862
84.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10726
83.2 IPS |
|
|
Style Transfer (F32)
|
100% |
15801
20.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27913
36.7 IPS |
|
|
Style Transfer (I8)
|
100% |
25228
33.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3966
141.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5135
183.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4769
170.3 IPS |
|
|
Text Classification (F32)
|
100% |
2111
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3510
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3567
5.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
1339
24.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1578
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1330
24.5 IPS |
