MacBook Pro (13-inch, 2022)
Geekbench ML Score
3561
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 29 2025 06:36 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5068b) |
| 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 | 3.00 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% |
1095
204.9 IPS |
|
|
Image Classification (F16)
|
100% |
2060
385.5 IPS |
|
|
Image Classification (I8)
|
99% |
2142
400.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
673
11.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
912
15.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1093
18.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6245
7.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
14122
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14233
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1305
97.4 IPS |
|
|
Object Detection (F16)
|
100% |
2301
171.8 IPS |
|
|
Object Detection (I8)
|
97% |
1341
100.1 IPS |
|
|
Face Detection (F32)
|
100% |
2959
35.2 IPS |
|
|
Face Detection (F16)
|
97% |
5592
66.5 IPS |
|
|
Face Detection (I8)
|
97% |
5602
66.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5393
41.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10820
83.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
9925
77.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17722
23.3 IPS |
|
|
Style Transfer (F16)
|
100% |
28426
37.4 IPS |
|
|
Style Transfer (I8)
|
100% |
28277
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4044
144.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4156
148.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4192
149.7 IPS |
|
|
Text Classification (F32)
|
100% |
1855
2.67 KIPS |
|
|
Text Classification (F16)
|
100% |
3341
4.80 KIPS |
|
|
Text Classification (I8)
|
96% |
3247
4.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
1142
21.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1377
25.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1264
23.3 IPS |
