MacBook Pro (13-inch, 2022)
Geekbench ML Score
3385
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 12 2026 07:40 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| 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% |
1218
227.9 IPS |
|
|
Image Classification (F16)
|
100% |
2366
442.7 IPS |
|
|
Image Classification (I8)
|
99% |
2408
450.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
796
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
802
13.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
849
14.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
4588
5.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
12143
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13918
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1106
82.6 IPS |
|
|
Object Detection (F16)
|
100% |
2182
162.9 IPS |
|
|
Object Detection (I8)
|
97% |
1274
95.1 IPS |
|
|
Face Detection (F32)
|
100% |
2725
32.4 IPS |
|
|
Face Detection (F16)
|
97% |
4841
57.6 IPS |
|
|
Face Detection (I8)
|
96% |
5159
61.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5228
40.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10517
81.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10519
81.6 IPS |
|
|
Style Transfer (F32)
|
100% |
14769
19.4 IPS |
|
|
Style Transfer (F16)
|
100% |
26889
35.4 IPS |
|
|
Style Transfer (I8)
|
100% |
24412
32.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3566
127.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4140
147.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4590
163.9 IPS |
|
|
Text Classification (F32)
|
100% |
1956
2.81 KIPS |
|
|
Text Classification (F16)
|
100% |
3475
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3372
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
1020
18.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1490
27.4 IPS |
|
|
Machine Translation (I8)
|
99% |
957
17.6 IPS |
