MacBook Pro (13-inch, 2022)
Geekbench ML Score
3631
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 26 2025 06:11 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 3.16 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% |
1001
187.3 IPS |
|
|
Image Classification (F16)
|
100% |
1940
362.9 IPS |
|
|
Image Classification (I8)
|
99% |
1990
372.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
688
11.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
980
16.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1012
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5722
6.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
14046
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14172
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1232
92.0 IPS |
|
|
Object Detection (F16)
|
100% |
2420
180.7 IPS |
|
|
Object Detection (I8)
|
97% |
1340
100.1 IPS |
|
|
Face Detection (F32)
|
100% |
2943
35.0 IPS |
|
|
Face Detection (F16)
|
97% |
5683
67.6 IPS |
|
|
Face Detection (I8)
|
96% |
5657
67.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5192
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10690
82.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
10925
84.7 IPS |
|
|
Style Transfer (F32)
|
100% |
17323
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27393
36.0 IPS |
|
|
Style Transfer (I8)
|
100% |
26990
35.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3907
139.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5211
186.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5326
190.2 IPS |
|
|
Text Classification (F32)
|
100% |
2115
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3370
4.84 KIPS |
|
|
Text Classification (I8)
|
96% |
3392
4.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
1328
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1657
30.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1249
23.0 IPS |
