MacBook Pro (13-inch, 2022)
Geekbench ML Score
3536
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 20 2025 06:11 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 3.47 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% |
1100
205.9 IPS |
|
|
Image Classification (F16)
|
100% |
1889
353.5 IPS |
|
|
Image Classification (I8)
|
99% |
1886
353.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
624
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
910
15.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
960
16.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5051
6.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
12163
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12920
15.6 IPS |
|
|
Object Detection (F32)
|
100% |
1287
96.1 IPS |
|
|
Object Detection (F16)
|
100% |
2292
171.1 IPS |
|
|
Object Detection (I8)
|
97% |
1328
99.1 IPS |
|
|
Face Detection (F32)
|
100% |
2898
34.5 IPS |
|
|
Face Detection (F16)
|
97% |
5445
64.7 IPS |
|
|
Face Detection (I8)
|
96% |
5788
68.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5317
41.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10661
82.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
10719
83.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17646
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27757
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27739
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3812
136.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5133
183.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5307
189.5 IPS |
|
|
Text Classification (F32)
|
100% |
2128
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3500
5.03 KIPS |
|
|
Text Classification (I8)
|
96% |
3493
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1114
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1621
29.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1168
21.5 IPS |
