MacBook Pro (13-inch, 2022)
Geekbench ML Score
2737
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 18 2025 04:27 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5062e) |
| 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 | 3.15 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% |
1015
189.9 IPS |
|
|
Image Classification (F16)
|
100% |
1600
299.4 IPS |
|
|
Image Classification (I8)
|
99% |
1866
349.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
610
10.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
772
12.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
867
14.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5174
6.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
11711
14.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
11340
13.7 IPS |
|
|
Object Detection (F32)
|
100% |
1103
82.4 IPS |
|
|
Object Detection (F16)
|
100% |
1934
144.4 IPS |
|
|
Object Detection (I8)
|
97% |
1015
75.8 IPS |
|
|
Face Detection (F32)
|
100% |
2243
26.7 IPS |
|
|
Face Detection (F16)
|
97% |
4720
56.1 IPS |
|
|
Face Detection (I8)
|
96% |
3578
42.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4105
31.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6298
48.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
5573
43.2 IPS |
|
|
Style Transfer (F32)
|
100% |
8971
11.8 IPS |
|
|
Style Transfer (F16)
|
100% |
20761
27.3 IPS |
|
|
Style Transfer (I8)
|
100% |
18752
24.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2864
102.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2764
98.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3612
129.0 IPS |
|
|
Text Classification (F32)
|
100% |
1313
1.89 KIPS |
|
|
Text Classification (F16)
|
100% |
2452
3.52 KIPS |
|
|
Text Classification (I8)
|
96% |
3223
4.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
967
17.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1391
25.6 IPS |
|
|
Machine Translation (I8)
|
99% |
940
17.3 IPS |
