MacBook Pro (13-inch, 2022)
Geekbench ML Score
6097
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 28 2025 06:44 PM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3465
648.4 IPS |
|
|
Image Classification (F16)
|
100% |
3485
652.1 IPS |
|
|
Image Classification (I8)
|
99% |
3472
649.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1355
22.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1419
23.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1472
24.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23213
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
25512
30.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
25418
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2752
205.4 IPS |
|
|
Object Detection (F16)
|
100% |
2854
213.1 IPS |
|
|
Object Detection (I8)
|
97% |
2708
202.1 IPS |
|
|
Face Detection (F32)
|
100% |
9127
108.5 IPS |
|
|
Face Detection (F16)
|
98% |
10220
121.5 IPS |
|
|
Face Detection (I8)
|
97% |
10412
123.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15979
123.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17295
134.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
17465
135.4 IPS |
|
|
Style Transfer (F32)
|
100% |
39945
52.5 IPS |
|
|
Style Transfer (F16)
|
100% |
47352
62.3 IPS |
|
|
Style Transfer (I8)
|
100% |
47240
62.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8604
307.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9052
323.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8830
315.3 IPS |
|
|
Text Classification (F32)
|
100% |
2158
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3449
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3503
5.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1054
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1105
20.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1079
19.9 IPS |
