MacBook Pro (13-inch, 2022)
Geekbench ML Score
3520
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 27 2025 05:50 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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 | 3.40 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% |
1232
230.6 IPS |
|
|
Image Classification (F16)
|
100% |
2374
444.2 IPS |
|
|
Image Classification (I8)
|
99% |
2217
414.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
630
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
938
15.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1189
19.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6102
7.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
14285
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14254
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1304
97.3 IPS |
|
|
Object Detection (F16)
|
100% |
2111
157.6 IPS |
|
|
Object Detection (I8)
|
97% |
1059
79.1 IPS |
|
|
Face Detection (F32)
|
100% |
2513
29.9 IPS |
|
|
Face Detection (F16)
|
97% |
5763
68.5 IPS |
|
|
Face Detection (I8)
|
96% |
4900
58.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5155
40.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9666
75.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
9824
76.2 IPS |
|
|
Style Transfer (F32)
|
100% |
15652
20.6 IPS |
|
|
Style Transfer (F16)
|
100% |
26782
35.2 IPS |
|
|
Style Transfer (I8)
|
100% |
27369
36.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3818
136.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5150
183.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4971
177.5 IPS |
|
|
Text Classification (F32)
|
100% |
2056
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3385
4.87 KIPS |
|
|
Text Classification (I8)
|
96% |
2886
4.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
1144
21.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1479
27.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1149
21.1 IPS |
