MacBook Pro (13-inch, 2022)
Geekbench ML Score
3564
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 04 2026 07:25 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5112c) |
| 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 | 3.26 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% |
1005
188.0 IPS |
|
|
Image Classification (F16)
|
100% |
2035
380.9 IPS |
|
|
Image Classification (I8)
|
99% |
2070
387.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
639
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1092
18.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
979
16.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5882
7.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
10197
12.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13863
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1179
88.0 IPS |
|
|
Object Detection (F16)
|
100% |
2377
177.5 IPS |
|
|
Object Detection (I8)
|
97% |
1276
95.3 IPS |
|
|
Face Detection (F32)
|
100% |
2829
33.6 IPS |
|
|
Face Detection (F16)
|
97% |
5678
67.5 IPS |
|
|
Face Detection (I8)
|
96% |
5523
65.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5194
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10820
83.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
10826
84.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17258
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
25098
33.0 IPS |
|
|
Style Transfer (I8)
|
100% |
26769
35.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3872
138.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5151
183.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5153
184.0 IPS |
|
|
Text Classification (F32)
|
100% |
2073
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3466
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3494
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1229
22.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1643
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1292
23.8 IPS |
