MacBook Pro (13-inch, 2022)
Geekbench ML Score
3538
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 17 2025 07:19 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5037j) |
| 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 | 3.27 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% |
1198
224.1 IPS |
|
|
Image Classification (F16)
|
100% |
2299
430.3 IPS |
|
|
Image Classification (I8)
|
99% |
2035
380.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
820
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1102
18.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
966
16.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5629
6.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
13727
16.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
13953
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1289
96.2 IPS |
|
|
Object Detection (F16)
|
100% |
2391
178.5 IPS |
|
|
Object Detection (I8)
|
97% |
1293
96.6 IPS |
|
|
Face Detection (F32)
|
100% |
2850
33.9 IPS |
|
|
Face Detection (F16)
|
97% |
4866
57.9 IPS |
|
|
Face Detection (I8)
|
96% |
4105
48.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
4943
38.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10597
82.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10533
81.7 IPS |
|
|
Style Transfer (F32)
|
100% |
16202
21.3 IPS |
|
|
Style Transfer (F16)
|
100% |
20782
27.3 IPS |
|
|
Style Transfer (I8)
|
100% |
24213
31.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3860
137.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5259
187.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4686
167.4 IPS |
|
|
Text Classification (F32)
|
100% |
1876
2.70 KIPS |
|
|
Text Classification (F16)
|
100% |
3108
4.47 KIPS |
|
|
Text Classification (I8)
|
96% |
3506
5.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1273
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1671
30.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1310
24.1 IPS |
