MacBook Pro (13-inch, 2022)
Geekbench ML Score
3541
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 01 2025 07:01 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E247) |
| 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 | 3.17 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% |
1195
223.7 IPS |
|
|
Image Classification (F16)
|
100% |
2187
409.2 IPS |
|
|
Image Classification (I8)
|
99% |
2245
420.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
742
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
959
16.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1060
17.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6414
7.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
10518
12.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13304
16.1 IPS |
|
|
Object Detection (F32)
|
100% |
1322
98.7 IPS |
|
|
Object Detection (F16)
|
100% |
2150
160.5 IPS |
|
|
Object Detection (I8)
|
97% |
1278
95.4 IPS |
|
|
Face Detection (F32)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (F16)
|
97% |
4927
58.6 IPS |
|
|
Face Detection (I8)
|
97% |
4936
58.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4747
36.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
9510
73.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
9885
76.7 IPS |
|
|
Style Transfer (F32)
|
100% |
16657
21.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28337
37.3 IPS |
|
|
Style Transfer (I8)
|
100% |
28158
37.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4127
147.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4537
162.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4618
164.9 IPS |
|
|
Text Classification (F32)
|
100% |
1856
2.67 KIPS |
|
|
Text Classification (F16)
|
100% |
3404
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3727
5.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
1305
24.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1543
28.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1334
24.6 IPS |
