MacBook Pro (13-inch, 2022)
Geekbench ML Score
3596
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 31 2025 03:20 PM |
| Views | 3 |
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 | 3.08 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% |
1202
225.0 IPS |
|
|
Image Classification (F16)
|
100% |
2302
430.7 IPS |
|
|
Image Classification (I8)
|
99% |
2203
412.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
614
10.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
795
13.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
970
16.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5273
6.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
13421
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14302
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1057
78.9 IPS |
|
|
Object Detection (F16)
|
100% |
2163
161.5 IPS |
|
|
Object Detection (I8)
|
97% |
1227
91.6 IPS |
|
|
Face Detection (F32)
|
100% |
2976
35.4 IPS |
|
|
Face Detection (F16)
|
97% |
5692
67.7 IPS |
|
|
Face Detection (I8)
|
96% |
5308
63.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5388
41.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10736
83.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
10581
82.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17307
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27501
36.2 IPS |
|
|
Style Transfer (I8)
|
100% |
27680
36.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3881
138.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5096
182.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5002
178.6 IPS |
|
|
Text Classification (F32)
|
100% |
2174
3.12 KIPS |
|
|
Text Classification (F16)
|
100% |
3602
5.18 KIPS |
|
|
Text Classification (I8)
|
96% |
3648
5.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
1319
24.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1626
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1323
24.3 IPS |
