MacBook Pro (13-inch, 2022)
Geekbench ML Score
3752
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 23 2025 07:35 PM |
| Views | 8 |
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 | 3.36 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% |
1234
230.9 IPS |
|
|
Image Classification (F16)
|
100% |
2373
444.1 IPS |
|
|
Image Classification (I8)
|
99% |
2271
424.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
859
14.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1101
18.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
963
16.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5918
7.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
13818
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13474
16.3 IPS |
|
|
Object Detection (F32)
|
100% |
1336
99.7 IPS |
|
|
Object Detection (F16)
|
100% |
2371
177.0 IPS |
|
|
Object Detection (I8)
|
97% |
1344
100.4 IPS |
|
|
Face Detection (F32)
|
100% |
2931
34.8 IPS |
|
|
Face Detection (F16)
|
97% |
5795
68.9 IPS |
|
|
Face Detection (I8)
|
96% |
5799
69.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5217
40.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10860
84.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10885
84.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17647
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27297
35.9 IPS |
|
|
Style Transfer (I8)
|
100% |
27335
36.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3853
137.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5175
184.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5192
185.4 IPS |
|
|
Text Classification (F32)
|
100% |
2116
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3363
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3406
4.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
1352
24.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1662
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1327
24.4 IPS |
