MacBook Pro (13-inch, 2022)
Geekbench ML Score
3681
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 18 2025 06:14 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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% |
1257
235.2 IPS |
|
|
Image Classification (F16)
|
100% |
2349
439.6 IPS |
|
|
Image Classification (I8)
|
99% |
2389
447.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
801
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1025
17.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
917
15.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5998
7.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
13846
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13576
16.4 IPS |
|
|
Object Detection (F32)
|
100% |
1417
105.8 IPS |
|
|
Object Detection (F16)
|
100% |
2280
170.2 IPS |
|
|
Object Detection (I8)
|
97% |
1412
105.4 IPS |
|
|
Face Detection (F32)
|
100% |
2875
34.2 IPS |
|
|
Face Detection (F16)
|
97% |
5675
67.5 IPS |
|
|
Face Detection (I8)
|
96% |
5187
61.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5212
40.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9983
77.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
10981
85.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18197
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
27856
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27775
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4187
149.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5319
190.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5262
187.9 IPS |
|
|
Text Classification (F32)
|
100% |
2031
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
2564
3.69 KIPS |
|
|
Text Classification (I8)
|
96% |
3107
4.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
1325
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1678
30.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1216
22.4 IPS |
