MacBook Pro (13-inch, 2022)
Geekbench ML Score
3023
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 15 2025 05:50 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.47 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% |
1269
237.4 IPS |
|
|
Image Classification (F16)
|
100% |
2180
407.9 IPS |
|
|
Image Classification (I8)
|
99% |
2219
415.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
707
11.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
884
14.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
795
13.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6459
7.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
11509
13.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
10117
12.3 IPS |
|
|
Object Detection (F32)
|
100% |
1154
86.2 IPS |
|
|
Object Detection (F16)
|
100% |
1538
114.8 IPS |
|
|
Object Detection (I8)
|
97% |
1208
90.2 IPS |
|
|
Face Detection (F32)
|
100% |
2452
29.2 IPS |
|
|
Face Detection (F16)
|
97% |
5065
60.2 IPS |
|
|
Face Detection (I8)
|
97% |
5375
63.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4476
34.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10161
78.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
9277
71.9 IPS |
|
|
Style Transfer (F32)
|
100% |
15357
20.2 IPS |
|
|
Style Transfer (F16)
|
100% |
23072
30.3 IPS |
|
|
Style Transfer (I8)
|
100% |
26466
34.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1994
71.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3068
109.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2888
103.1 IPS |
|
|
Text Classification (F32)
|
100% |
955
1.37 KIPS |
|
|
Text Classification (F16)
|
100% |
2370
3.41 KIPS |
|
|
Text Classification (I8)
|
96% |
2830
4.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1057
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1375
25.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1217
22.4 IPS |
