MacBook Pro (13-inch, 2022)
Geekbench ML Score
3684
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 21 2025 08:27 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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% |
1223
228.8 IPS |
|
|
Image Classification (F16)
|
100% |
2285
427.7 IPS |
|
|
Image Classification (I8)
|
99% |
2254
421.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
723
12.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1146
19.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
987
16.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6284
7.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
14044
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14185
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1408
105.1 IPS |
|
|
Object Detection (F16)
|
100% |
2439
182.1 IPS |
|
|
Object Detection (I8)
|
97% |
1415
105.7 IPS |
|
|
Face Detection (F32)
|
100% |
2845
33.8 IPS |
|
|
Face Detection (F16)
|
97% |
5707
67.9 IPS |
|
|
Face Detection (I8)
|
97% |
5650
67.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5263
40.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10749
83.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
10840
84.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17695
23.3 IPS |
|
|
Style Transfer (F16)
|
100% |
27721
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27772
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4169
148.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5190
185.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5338
190.6 IPS |
|
|
Text Classification (F32)
|
100% |
1966
2.83 KIPS |
|
|
Text Classification (F16)
|
100% |
3334
4.79 KIPS |
|
|
Text Classification (I8)
|
96% |
2513
3.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
1105
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1590
29.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1222
22.5 IPS |
