MacBook Pro (13-inch, 2022)
Geekbench ML Score
3744
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 06 2026 07:04 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D122) |
| 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 | 3.29 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% |
1163
217.7 IPS |
|
|
Image Classification (F16)
|
100% |
2366
442.8 IPS |
|
|
Image Classification (I8)
|
99% |
2349
439.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
710
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1110
18.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1105
18.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5762
6.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
13945
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14058
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1252
93.5 IPS |
|
|
Object Detection (F16)
|
100% |
2404
179.4 IPS |
|
|
Object Detection (I8)
|
97% |
1306
97.5 IPS |
|
|
Face Detection (F32)
|
100% |
2869
34.1 IPS |
|
|
Face Detection (F16)
|
97% |
5602
66.6 IPS |
|
|
Face Detection (I8)
|
96% |
5587
66.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5237
40.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10675
82.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
10962
85.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17635
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27790
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27338
36.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3798
135.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5272
188.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5278
188.5 IPS |
|
|
Text Classification (F32)
|
100% |
2195
3.15 KIPS |
|
|
Text Classification (F16)
|
100% |
3510
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3546
5.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
1341
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1685
31.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1326
24.4 IPS |
