MacBook Pro (13-inch, 2022)
Geekbench ML Score
3108
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 20 2025 05:12 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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% |
1115
208.6 IPS |
|
|
Image Classification (F16)
|
100% |
2075
388.3 IPS |
|
|
Image Classification (I8)
|
99% |
2102
393.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
655
10.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
870
14.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
927
15.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5506
6.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
10964
13.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
11119
13.5 IPS |
|
|
Object Detection (F32)
|
100% |
1005
75.0 IPS |
|
|
Object Detection (F16)
|
100% |
1877
140.1 IPS |
|
|
Object Detection (I8)
|
97% |
798
59.5 IPS |
|
|
Face Detection (F32)
|
100% |
1509
17.9 IPS |
|
|
Face Detection (F16)
|
97% |
4266
50.7 IPS |
|
|
Face Detection (I8)
|
96% |
4704
55.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4953
38.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9932
77.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
8381
65.0 IPS |
|
|
Style Transfer (F32)
|
100% |
11454
15.1 IPS |
|
|
Style Transfer (F16)
|
100% |
25327
33.3 IPS |
|
|
Style Transfer (I8)
|
100% |
21630
28.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3145
112.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4697
167.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4343
155.1 IPS |
|
|
Text Classification (F32)
|
100% |
1913
2.75 KIPS |
|
|
Text Classification (F16)
|
100% |
3464
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3494
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1170
21.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1339
24.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1258
23.2 IPS |
