MacBook Pro (13-inch, 2022)
Geekbench ML Score
3606
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 04 2025 06:44 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 3.40 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% |
1089
203.8 IPS |
|
|
Image Classification (F16)
|
100% |
2213
414.1 IPS |
|
|
Image Classification (I8)
|
99% |
2267
424.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
683
11.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
895
15.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1028
17.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6071
7.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
13940
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
11256
13.6 IPS |
|
|
Object Detection (F32)
|
100% |
1257
93.9 IPS |
|
|
Object Detection (F16)
|
100% |
2031
151.6 IPS |
|
|
Object Detection (I8)
|
97% |
1352
100.9 IPS |
|
|
Face Detection (F32)
|
100% |
2950
35.1 IPS |
|
|
Face Detection (F16)
|
97% |
5256
62.5 IPS |
|
|
Face Detection (I8)
|
96% |
5540
65.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5412
42.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10247
79.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
10359
80.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16598
21.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27391
36.0 IPS |
|
|
Style Transfer (I8)
|
100% |
27953
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3909
139.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4995
178.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5189
185.3 IPS |
|
|
Text Classification (F32)
|
100% |
2018
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3540
5.09 KIPS |
|
|
Text Classification (I8)
|
96% |
3545
5.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
1334
24.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1588
29.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1337
24.6 IPS |
