MacBook Pro (13-inch, 2022)
Geekbench ML Score
3371
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 24 2025 06:57 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | 2.97 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% |
1247
233.4 IPS |
|
|
Image Classification (F16)
|
100% |
2515
470.6 IPS |
|
|
Image Classification (I8)
|
99% |
2147
401.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
668
11.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
867
14.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
757
12.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
3223
3.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
9354
11.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
12170
14.7 IPS |
|
|
Object Detection (F32)
|
100% |
1096
81.8 IPS |
|
|
Object Detection (F16)
|
100% |
2024
151.1 IPS |
|
|
Object Detection (I8)
|
97% |
1017
75.9 IPS |
|
|
Face Detection (F32)
|
100% |
2557
30.4 IPS |
|
|
Face Detection (F16)
|
97% |
4494
53.4 IPS |
|
|
Face Detection (I8)
|
96% |
5353
63.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5185
40.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10269
79.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10633
82.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16419
21.6 IPS |
|
|
Style Transfer (F16)
|
100% |
27138
35.7 IPS |
|
|
Style Transfer (I8)
|
100% |
27537
36.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3834
136.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5043
180.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5021
179.3 IPS |
|
|
Text Classification (F32)
|
100% |
2100
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3453
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3473
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
1258
23.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1633
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1307
24.1 IPS |
