MacBook Pro (13-inch, 2022)
Geekbench ML Score
3745
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 09 2025 06:26 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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 | 3.46 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% |
1319
246.8 IPS |
|
|
Image Classification (F16)
|
100% |
2352
440.1 IPS |
|
|
Image Classification (I8)
|
99% |
2388
446.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
748
12.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1102
18.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1106
18.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6215
7.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
14201
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14165
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1349
100.7 IPS |
|
|
Object Detection (F16)
|
100% |
2265
169.1 IPS |
|
|
Object Detection (I8)
|
97% |
1397
104.3 IPS |
|
|
Face Detection (F32)
|
100% |
2926
34.8 IPS |
|
|
Face Detection (F16)
|
97% |
4554
54.2 IPS |
|
|
Face Detection (I8)
|
96% |
5701
67.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5518
42.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10505
81.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
10551
81.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17825
23.4 IPS |
|
|
Style Transfer (F16)
|
100% |
28106
37.0 IPS |
|
|
Style Transfer (I8)
|
100% |
28106
37.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4012
143.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5043
180.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5193
185.5 IPS |
|
|
Text Classification (F32)
|
100% |
1979
2.84 KIPS |
|
|
Text Classification (F16)
|
100% |
3089
4.44 KIPS |
|
|
Text Classification (I8)
|
96% |
3537
5.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
1371
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1623
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1345
24.8 IPS |
