MacBook Pro (13-inch, 2022)
Geekbench ML Score
2846
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 19 2025 06:30 PM |
| Views | 5 |
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 | 3.15 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% |
896
167.6 IPS |
|
|
Image Classification (F16)
|
100% |
1926
360.4 IPS |
|
|
Image Classification (I8)
|
99% |
1917
358.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
581
9.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
822
13.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
814
13.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
4947
5.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
10440
12.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
12302
14.9 IPS |
|
|
Object Detection (F32)
|
100% |
1140
85.1 IPS |
|
|
Object Detection (F16)
|
100% |
1795
134.0 IPS |
|
|
Object Detection (I8)
|
97% |
1106
82.6 IPS |
|
|
Face Detection (F32)
|
100% |
2616
31.1 IPS |
|
|
Face Detection (F16)
|
97% |
4958
59.0 IPS |
|
|
Face Detection (I8)
|
96% |
5138
61.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4714
36.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
7939
61.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
9035
70.1 IPS |
|
|
Style Transfer (F32)
|
100% |
14066
18.5 IPS |
|
|
Style Transfer (F16)
|
100% |
23099
30.4 IPS |
|
|
Style Transfer (I8)
|
100% |
19494
25.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2971
106.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4157
148.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4701
167.9 IPS |
|
|
Text Classification (F32)
|
100% |
986
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
2016
2.90 KIPS |
|
|
Text Classification (I8)
|
96% |
1681
2.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
828
15.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1150
21.2 IPS |
|
|
Machine Translation (I8)
|
99% |
877
16.1 IPS |
