MacBook Pro (13-inch, 2022)
Geekbench ML Score
3548
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 24 2025 07:08 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 3.41 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% |
1228
229.7 IPS |
|
|
Image Classification (F16)
|
100% |
2268
424.4 IPS |
|
|
Image Classification (I8)
|
99% |
2253
421.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
703
11.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
847
14.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1012
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6351
7.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
10731
13.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
8831
10.7 IPS |
|
|
Object Detection (F32)
|
100% |
1202
89.8 IPS |
|
|
Object Detection (F16)
|
100% |
1903
142.0 IPS |
|
|
Object Detection (I8)
|
97% |
1290
96.3 IPS |
|
|
Face Detection (F32)
|
100% |
2583
30.7 IPS |
|
|
Face Detection (F16)
|
97% |
4982
59.2 IPS |
|
|
Face Detection (I8)
|
96% |
4917
58.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5298
41.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
10840
84.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10762
83.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17552
23.1 IPS |
|
|
Style Transfer (F16)
|
100% |
28267
37.2 IPS |
|
|
Style Transfer (I8)
|
100% |
28242
37.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4167
148.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5067
181.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5085
181.6 IPS |
|
|
Text Classification (F32)
|
100% |
2046
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3526
5.07 KIPS |
|
|
Text Classification (I8)
|
96% |
3531
5.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1353
24.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1696
31.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1379
25.4 IPS |
