MacBook Pro (13-inch, 2022)
Geekbench ML Score
3856
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 03 2025 04:14 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.48 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% |
1296
242.4 IPS |
|
|
Image Classification (F16)
|
100% |
2503
468.5 IPS |
|
|
Image Classification (I8)
|
99% |
2411
451.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
847
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1046
17.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1030
17.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6617
8.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
14493
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14527
17.6 IPS |
|
|
Object Detection (F32)
|
100% |
1394
104.1 IPS |
|
|
Object Detection (F16)
|
100% |
2309
172.4 IPS |
|
|
Object Detection (I8)
|
97% |
1402
104.7 IPS |
|
|
Face Detection (F32)
|
100% |
2904
34.5 IPS |
|
|
Face Detection (F16)
|
97% |
5903
70.2 IPS |
|
|
Face Detection (I8)
|
96% |
5858
69.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5534
42.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11052
85.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11053
85.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18158
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28244
37.2 IPS |
|
|
Style Transfer (I8)
|
100% |
28335
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4109
146.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5200
185.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5217
186.3 IPS |
|
|
Text Classification (F32)
|
100% |
2152
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3343
4.80 KIPS |
|
|
Text Classification (I8)
|
96% |
3329
4.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
1404
25.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1692
31.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1371
25.2 IPS |
