MacBook Pro (13-inch, 2022)
Geekbench ML Score
3784
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 01 2025 06:52 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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 | 3.18 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% |
1122
209.9 IPS |
|
|
Image Classification (F16)
|
100% |
2098
392.5 IPS |
|
|
Image Classification (I8)
|
99% |
2121
396.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
786
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1113
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
999
16.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6262
7.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
14229
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14232
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1382
103.2 IPS |
|
|
Object Detection (F16)
|
100% |
2437
181.9 IPS |
|
|
Object Detection (I8)
|
97% |
1403
104.7 IPS |
|
|
Face Detection (F32)
|
100% |
2969
35.3 IPS |
|
|
Face Detection (F16)
|
97% |
5651
67.2 IPS |
|
|
Face Detection (I8)
|
96% |
5637
67.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5344
41.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10833
84.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
10831
84.0 IPS |
|
|
Style Transfer (F32)
|
100% |
18220
24.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27734
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27892
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4190
149.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5346
190.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5343
190.8 IPS |
|
|
Text Classification (F32)
|
100% |
2099
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3434
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3517
5.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
1408
25.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1694
31.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1382
25.4 IPS |
