MacBook Pro (13-inch, 2022)
Geekbench ML Score
3816
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 05 2025 06:42 PM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 3.37 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% |
1231
230.3 IPS |
|
|
Image Classification (F16)
|
100% |
2395
448.2 IPS |
|
|
Image Classification (I8)
|
99% |
2377
444.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
855
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1142
19.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1016
17.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5886
7.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
14325
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14326
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1356
101.3 IPS |
|
|
Object Detection (F16)
|
100% |
2455
183.3 IPS |
|
|
Object Detection (I8)
|
97% |
1355
101.2 IPS |
|
|
Face Detection (F32)
|
100% |
3016
35.9 IPS |
|
|
Face Detection (F16)
|
97% |
5903
70.2 IPS |
|
|
Face Detection (I8)
|
96% |
5866
69.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5321
41.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11008
85.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11035
85.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17700
23.3 IPS |
|
|
Style Transfer (F16)
|
100% |
27198
35.8 IPS |
|
|
Style Transfer (I8)
|
100% |
27228
35.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3905
139.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5300
189.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5174
184.8 IPS |
|
|
Text Classification (F32)
|
100% |
2109
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3482
5.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3604
5.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
1338
24.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1671
30.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1324
24.4 IPS |
