MacBook Pro (13-inch, 2022)
Geekbench ML Score
5716
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 14 2025 04:33 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.10 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2965
554.8 IPS |
|
|
Image Classification (F16)
|
100% |
3068
574.0 IPS |
|
|
Image Classification (I8)
|
99% |
3304
618.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1319
22.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1470
24.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1139
19.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
22692
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
25084
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25024
30.3 IPS |
|
|
Object Detection (F32)
|
100% |
1841
137.5 IPS |
|
|
Object Detection (F16)
|
100% |
1817
135.6 IPS |
|
|
Object Detection (I8)
|
97% |
2762
206.2 IPS |
|
|
Face Detection (F32)
|
100% |
8415
100.1 IPS |
|
|
Face Detection (F16)
|
98% |
10775
128.1 IPS |
|
|
Face Detection (I8)
|
97% |
5305
63.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
11468
88.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
18316
142.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
17783
137.9 IPS |
|
|
Style Transfer (F32)
|
100% |
41364
54.4 IPS |
|
|
Style Transfer (F16)
|
100% |
47229
62.1 IPS |
|
|
Style Transfer (I8)
|
100% |
47206
62.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9498
339.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10756
384.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9756
348.4 IPS |
|
|
Text Classification (F32)
|
100% |
2107
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3643
5.24 KIPS |
|
|
Text Classification (I8)
|
96% |
3625
5.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
1102
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1062
19.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1099
20.2 IPS |
