MacBook Pro (13-inch, 2022)
Geekbench ML Score
3308
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 09 2026 07:21 PM |
| Views | 7 |
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 | 3.26 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% |
1116
208.8 IPS |
|
|
Image Classification (F16)
|
100% |
2294
429.2 IPS |
|
|
Image Classification (I8)
|
99% |
1574
294.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
640
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
898
15.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
689
11.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
3404
4.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
10075
12.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
13849
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1196
89.3 IPS |
|
|
Object Detection (F16)
|
100% |
2303
172.0 IPS |
|
|
Object Detection (I8)
|
97% |
1209
90.3 IPS |
|
|
Face Detection (F32)
|
100% |
2236
26.6 IPS |
|
|
Face Detection (F16)
|
97% |
5001
59.5 IPS |
|
|
Face Detection (I8)
|
96% |
4917
58.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4910
38.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
8574
66.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
8135
63.1 IPS |
|
|
Style Transfer (F32)
|
100% |
15220
20.0 IPS |
|
|
Style Transfer (F16)
|
100% |
22454
29.5 IPS |
|
|
Style Transfer (I8)
|
100% |
25268
33.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2652
94.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4238
151.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5132
183.3 IPS |
|
|
Text Classification (F32)
|
100% |
3458
4.97 KIPS |
|
|
Text Classification (F16)
|
100% |
5539
7.96 KIPS |
|
|
Text Classification (I8)
|
96% |
4299
6.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
1231
22.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1429
26.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1132
20.8 IPS |
