MacBook Pro (13-inch, 2022)
Geekbench ML Score
3635
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 26 2025 06:25 PM |
| Views | 2 |
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 | 3.30 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% |
1292
241.8 IPS |
|
|
Image Classification (F16)
|
100% |
2321
434.2 IPS |
|
|
Image Classification (I8)
|
99% |
2228
417.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
715
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1059
17.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
731
12.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5105
6.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
14392
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14166
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1324
98.8 IPS |
|
|
Object Detection (F16)
|
100% |
2306
172.2 IPS |
|
|
Object Detection (I8)
|
97% |
1369
102.2 IPS |
|
|
Face Detection (F32)
|
100% |
2922
34.7 IPS |
|
|
Face Detection (F16)
|
97% |
5734
68.2 IPS |
|
|
Face Detection (I8)
|
97% |
5733
68.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4546
35.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8427
65.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
8717
67.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18025
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27658
36.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27882
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4078
145.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5216
186.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5238
187.1 IPS |
|
|
Text Classification (F32)
|
100% |
2152
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3511
5.05 KIPS |
|
|
Text Classification (I8)
|
96% |
3553
5.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
1362
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1662
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1355
24.9 IPS |
