MacBook Pro (13-inch, 2022)
Geekbench ML Score
3221
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 08 2025 08:12 PM |
| Views | 8 |
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 | 3.07 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% |
1037
194.0 IPS |
|
|
Image Classification (F16)
|
100% |
2277
426.0 IPS |
|
|
Image Classification (I8)
|
99% |
2076
388.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
522
8.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
661
11.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
776
13.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5185
6.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
14154
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
12814
15.5 IPS |
|
|
Object Detection (F32)
|
100% |
1144
85.4 IPS |
|
|
Object Detection (F16)
|
100% |
1966
146.8 IPS |
|
|
Object Detection (I8)
|
97% |
921
68.7 IPS |
|
|
Face Detection (F32)
|
100% |
2159
25.7 IPS |
|
|
Face Detection (F16)
|
97% |
5283
62.8 IPS |
|
|
Face Detection (I8)
|
96% |
4220
50.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4516
35.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8819
68.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
10229
79.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16828
22.1 IPS |
|
|
Style Transfer (F16)
|
100% |
23571
31.0 IPS |
|
|
Style Transfer (I8)
|
100% |
19019
25.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3675
131.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5087
181.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4284
153.0 IPS |
|
|
Text Classification (F32)
|
100% |
1871
2.69 KIPS |
|
|
Text Classification (F16)
|
100% |
3361
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3586
5.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
1235
22.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1607
29.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1286
23.7 IPS |
