MacBook Pro (13-inch, 2022)
Geekbench ML Score
3568
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 09 2025 07:48 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5057f) |
| 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 | 3.30 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% |
1179
220.6 IPS |
|
|
Image Classification (F16)
|
100% |
2347
439.1 IPS |
|
|
Image Classification (I8)
|
99% |
2359
441.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
718
12.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
947
15.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1030
17.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5868
7.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
13593
16.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
13566
16.4 IPS |
|
|
Object Detection (F32)
|
100% |
1222
91.3 IPS |
|
|
Object Detection (F16)
|
100% |
2276
169.9 IPS |
|
|
Object Detection (I8)
|
97% |
1243
92.8 IPS |
|
|
Face Detection (F32)
|
100% |
2817
33.5 IPS |
|
|
Face Detection (F16)
|
97% |
5552
66.0 IPS |
|
|
Face Detection (I8)
|
96% |
5372
63.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4500
34.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
10326
80.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
9717
75.4 IPS |
|
|
Style Transfer (F32)
|
100% |
15781
20.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26709
35.1 IPS |
|
|
Style Transfer (I8)
|
100% |
27002
35.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3495
124.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4936
176.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4894
174.8 IPS |
|
|
Text Classification (F32)
|
100% |
2029
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3258
4.68 KIPS |
|
|
Text Classification (I8)
|
96% |
3436
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
1302
24.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1528
28.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1329
24.5 IPS |
