MacBook Pro (13-inch, 2022)
Geekbench ML Score
3950
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 04 2026 06:45 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5223i) |
| 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 | 3.30 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% |
1215
227.3 IPS |
|
|
Image Classification (F16)
|
100% |
2372
443.8 IPS |
|
|
Image Classification (I8)
|
99% |
2491
466.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
835
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1008
16.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1014
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5770
6.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
13963
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14290
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1339
100.0 IPS |
|
|
Object Detection (F16)
|
100% |
2323
173.5 IPS |
|
|
Object Detection (I8)
|
97% |
1343
100.3 IPS |
|
|
Face Detection (F32)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (F16)
|
97% |
5504
65.4 IPS |
|
|
Face Detection (I8)
|
96% |
5733
68.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5383
41.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11110
86.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10692
82.9 IPS |
|
|
Style Transfer (F32)
|
100% |
16826
22.1 IPS |
|
|
Style Transfer (F16)
|
100% |
28575
37.6 IPS |
|
|
Style Transfer (I8)
|
100% |
28606
37.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3770
134.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5110
182.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5127
183.1 IPS |
|
|
Text Classification (F32)
|
100% |
3742
5.38 KIPS |
|
|
Text Classification (F16)
|
100% |
5823
8.37 KIPS |
|
|
Text Classification (I8)
|
96% |
5500
7.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
1297
23.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1623
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1306
24.0 IPS |
