MacBook Pro (13-inch, 2022)
Geekbench ML Score
3185
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 29 2025 06:15 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | 3.45 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% |
1111
207.9 IPS |
|
|
Image Classification (F16)
|
100% |
2110
394.8 IPS |
|
|
Image Classification (I8)
|
99% |
2339
437.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
772
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1120
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1131
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5907
7.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
12278
14.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14282
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1267
94.6 IPS |
|
|
Object Detection (F16)
|
100% |
2125
158.6 IPS |
|
|
Object Detection (I8)
|
97% |
1348
100.6 IPS |
|
|
Face Detection (F32)
|
100% |
2940
35.0 IPS |
|
|
Face Detection (F16)
|
97% |
5718
68.0 IPS |
|
|
Face Detection (I8)
|
96% |
5058
60.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4720
36.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
5891
45.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
10022
77.7 IPS |
|
|
Style Transfer (F32)
|
100% |
15962
21.0 IPS |
|
|
Style Transfer (F16)
|
100% |
26683
35.1 IPS |
|
|
Style Transfer (I8)
|
100% |
19921
26.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2831
101.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2958
105.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3943
140.8 IPS |
|
|
Text Classification (F32)
|
100% |
1156
1.66 KIPS |
|
|
Text Classification (F16)
|
100% |
2329
3.35 KIPS |
|
|
Text Classification (I8)
|
96% |
1788
2.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
948
17.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1647
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1243
22.9 IPS |
