MacBook Pro (13-inch, 2022)
Geekbench ML Score
3786
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 11 2025 04:44 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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% |
1263
236.3 IPS |
|
|
Image Classification (F16)
|
100% |
2309
432.0 IPS |
|
|
Image Classification (I8)
|
99% |
2357
441.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
825
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1100
18.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
993
16.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6215
7.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
13819
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
14201
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1404
104.8 IPS |
|
|
Object Detection (F16)
|
100% |
2408
179.7 IPS |
|
|
Object Detection (I8)
|
97% |
1403
104.8 IPS |
|
|
Face Detection (F32)
|
100% |
2939
34.9 IPS |
|
|
Face Detection (F16)
|
97% |
5819
69.2 IPS |
|
|
Face Detection (I8)
|
97% |
5670
67.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5420
42.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10848
84.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10891
84.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17821
23.4 IPS |
|
|
Style Transfer (F16)
|
100% |
27734
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27852
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4066
145.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5177
184.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5200
185.7 IPS |
|
|
Text Classification (F32)
|
100% |
2059
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3324
4.78 KIPS |
|
|
Text Classification (I8)
|
96% |
3269
4.70 KIPS |
|
|
Machine Translation (F32)
|
100% |
1337
24.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1652
30.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1339
24.6 IPS |
