MacBook Pro (13-inch, 2022)
Geekbench ML Score
3683
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 13 2025 07:06 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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 | 3.43 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% |
1278
239.2 IPS |
|
|
Image Classification (F16)
|
100% |
1695
317.1 IPS |
|
|
Image Classification (I8)
|
99% |
2088
390.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
727
12.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
938
15.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1079
18.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6081
7.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
14414
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
13000
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1360
101.6 IPS |
|
|
Object Detection (F16)
|
100% |
2133
159.3 IPS |
|
|
Object Detection (I8)
|
97% |
1295
96.7 IPS |
|
|
Face Detection (F32)
|
100% |
3042
36.2 IPS |
|
|
Face Detection (F16)
|
97% |
5773
68.6 IPS |
|
|
Face Detection (I8)
|
96% |
5684
67.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5630
43.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10674
82.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
10234
79.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17936
23.6 IPS |
|
|
Style Transfer (F16)
|
100% |
28190
37.1 IPS |
|
|
Style Transfer (I8)
|
100% |
28262
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4086
145.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5052
180.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5039
180.0 IPS |
|
|
Text Classification (F32)
|
100% |
2106
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3323
4.78 KIPS |
|
|
Text Classification (I8)
|
96% |
3324
4.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
1389
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1662
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1393
25.6 IPS |
