MacBook Pro (13-inch, 2022)
Geekbench ML Score
3787
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 12 2025 06:32 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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% |
1260
235.8 IPS |
|
|
Image Classification (F16)
|
100% |
2324
434.9 IPS |
|
|
Image Classification (I8)
|
99% |
2162
404.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
827
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1097
18.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1000
16.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6228
7.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
14233
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14529
17.6 IPS |
|
|
Object Detection (F32)
|
100% |
1426
106.5 IPS |
|
|
Object Detection (F16)
|
100% |
2432
181.6 IPS |
|
|
Object Detection (I8)
|
97% |
1414
105.6 IPS |
|
|
Face Detection (F32)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (F16)
|
97% |
5753
68.4 IPS |
|
|
Face Detection (I8)
|
96% |
5465
65.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5380
41.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10873
84.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
10808
83.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17710
23.3 IPS |
|
|
Style Transfer (F16)
|
100% |
27618
36.3 IPS |
|
|
Style Transfer (I8)
|
100% |
28291
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4147
148.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5276
188.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5271
188.2 IPS |
|
|
Text Classification (F32)
|
100% |
2038
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3481
5.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3499
5.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1246
22.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1647
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1263
23.2 IPS |
