MacBook Pro (13-inch, 2022)
Geekbench ML Score
3687
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 14 2026 07:36 PM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| 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 | 3.30 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% |
1173
219.5 IPS |
|
|
Image Classification (F16)
|
100% |
2064
386.3 IPS |
|
|
Image Classification (I8)
|
99% |
2081
389.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
772
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1131
18.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1013
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5918
7.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
14137
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14205
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1338
99.9 IPS |
|
|
Object Detection (F16)
|
100% |
2411
180.0 IPS |
|
|
Object Detection (I8)
|
97% |
1333
99.5 IPS |
|
|
Face Detection (F32)
|
100% |
2967
35.3 IPS |
|
|
Face Detection (F16)
|
97% |
5769
68.6 IPS |
|
|
Face Detection (I8)
|
96% |
5187
61.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5178
40.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
9909
76.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
10870
84.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16787
22.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27169
35.7 IPS |
|
|
Style Transfer (I8)
|
100% |
27144
35.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3896
139.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5251
187.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5283
188.7 IPS |
|
|
Text Classification (F32)
|
100% |
2033
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3415
4.91 KIPS |
|
|
Text Classification (I8)
|
96% |
3439
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
1283
23.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1675
30.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1296
23.9 IPS |
