MacBook Pro (13-inch, 2022)
Geekbench ML Score
3663
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 28 2025 06:16 PM |
| Views | 5 |
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% |
1332
249.3 IPS |
|
|
Image Classification (F16)
|
100% |
2395
448.2 IPS |
|
|
Image Classification (I8)
|
99% |
2363
442.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
689
11.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
962
16.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
913
15.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6193
7.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
14333
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14481
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1237
92.4 IPS |
|
|
Object Detection (F16)
|
100% |
1902
142.0 IPS |
|
|
Object Detection (I8)
|
97% |
1294
96.6 IPS |
|
|
Face Detection (F32)
|
100% |
2565
30.5 IPS |
|
|
Face Detection (F16)
|
97% |
5218
62.0 IPS |
|
|
Face Detection (I8)
|
97% |
4598
54.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4645
36.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11072
85.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
10966
85.0 IPS |
|
|
Style Transfer (F32)
|
100% |
18141
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28515
37.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27996
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4071
145.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5184
185.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5291
189.0 IPS |
|
|
Text Classification (F32)
|
100% |
2125
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3582
5.15 KIPS |
|
|
Text Classification (I8)
|
96% |
3489
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1392
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1668
30.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1341
24.7 IPS |
