MacBook Pro (13-inch, 2022)
Geekbench ML Score
3753
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 03 2025 11:03 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 2.96 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% |
1340
250.8 IPS |
|
|
Image Classification (F16)
|
100% |
2478
463.8 IPS |
|
|
Image Classification (I8)
|
99% |
2327
435.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
785
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1015
17.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1072
17.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6359
7.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
14471
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14428
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1130
84.4 IPS |
|
|
Object Detection (F16)
|
100% |
2261
168.8 IPS |
|
|
Object Detection (I8)
|
97% |
1298
96.9 IPS |
|
|
Face Detection (F32)
|
100% |
3008
35.8 IPS |
|
|
Face Detection (F16)
|
97% |
5792
68.9 IPS |
|
|
Face Detection (I8)
|
96% |
5477
65.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5345
41.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10606
82.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10592
82.1 IPS |
|
|
Style Transfer (F32)
|
100% |
18109
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
28326
37.3 IPS |
|
|
Style Transfer (I8)
|
100% |
28320
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4015
143.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5171
184.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4975
177.7 IPS |
|
|
Text Classification (F32)
|
100% |
2165
3.11 KIPS |
|
|
Text Classification (F16)
|
100% |
3436
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3285
4.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
1361
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1490
27.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1385
25.5 IPS |
