MacBook Pro (13-inch, 2022)
Geekbench ML Score
3799
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 27 2025 06:19 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E246) |
| 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 | 3.16 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% |
1177
220.3 IPS |
|
|
Image Classification (F16)
|
100% |
2384
446.1 IPS |
|
|
Image Classification (I8)
|
99% |
2340
438.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
780
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1006
16.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1116
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6572
7.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
14456
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14111
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1364
101.8 IPS |
|
|
Object Detection (F16)
|
100% |
2313
172.7 IPS |
|
|
Object Detection (I8)
|
97% |
1382
103.2 IPS |
|
|
Face Detection (F32)
|
100% |
2987
35.5 IPS |
|
|
Face Detection (F16)
|
97% |
5623
66.9 IPS |
|
|
Face Detection (I8)
|
97% |
5759
68.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5534
42.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
10926
84.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
10739
83.3 IPS |
|
|
Style Transfer (F32)
|
100% |
17467
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
28601
37.6 IPS |
|
|
Style Transfer (I8)
|
100% |
28653
37.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4005
143.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5018
179.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5014
179.1 IPS |
|
|
Text Classification (F32)
|
100% |
2141
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
3542
5.09 KIPS |
|
|
Text Classification (I8)
|
96% |
3563
5.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
1378
25.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1601
29.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1360
25.0 IPS |
