MacBook Pro (13-inch, 2022)
Geekbench ML Score
3488
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 02 2026 07:47 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5112c) |
| 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 | 3.46 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% |
1129
211.2 IPS |
|
|
Image Classification (F16)
|
100% |
2279
426.5 IPS |
|
|
Image Classification (I8)
|
99% |
1794
335.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
688
11.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1089
18.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1128
18.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5822
7.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
14063
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
11983
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
660
49.2 IPS |
|
|
Object Detection (F16)
|
100% |
1885
140.7 IPS |
|
|
Object Detection (I8)
|
97% |
1213
90.5 IPS |
|
|
Face Detection (F32)
|
100% |
2605
31.0 IPS |
|
|
Face Detection (F16)
|
97% |
5013
59.6 IPS |
|
|
Face Detection (I8)
|
96% |
5314
63.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5090
39.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10496
81.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
10503
81.4 IPS |
|
|
Style Transfer (F32)
|
100% |
16600
21.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27574
36.3 IPS |
|
|
Style Transfer (I8)
|
100% |
27632
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3757
134.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5059
180.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5043
180.1 IPS |
|
|
Text Classification (F32)
|
100% |
2126
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3438
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3506
5.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1291
23.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1605
29.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1319
24.3 IPS |
