MacBook Pro (13-inch, 2022)
Geekbench ML Score
3767
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 25 2025 07:14 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.46 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% |
1282
239.9 IPS |
|
|
Image Classification (F16)
|
100% |
2402
449.6 IPS |
|
|
Image Classification (I8)
|
99% |
2324
434.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
716
12.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1005
16.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1081
18.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6400
7.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
14235
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14171
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1336
99.8 IPS |
|
|
Object Detection (F16)
|
100% |
2291
171.1 IPS |
|
|
Object Detection (I8)
|
97% |
1323
98.7 IPS |
|
|
Face Detection (F32)
|
100% |
2930
34.8 IPS |
|
|
Face Detection (F16)
|
97% |
5545
65.9 IPS |
|
|
Face Detection (I8)
|
97% |
5635
67.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5439
42.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10963
85.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
10587
82.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17790
23.4 IPS |
|
|
Style Transfer (F16)
|
100% |
28414
37.4 IPS |
|
|
Style Transfer (I8)
|
100% |
28365
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4006
143.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4943
176.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5127
183.1 IPS |
|
|
Text Classification (F32)
|
100% |
2131
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3570
5.13 KIPS |
|
|
Text Classification (I8)
|
96% |
3593
5.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
1370
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1581
29.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1324
24.4 IPS |
