MacBook Pro (13-inch, 2022)
Geekbench ML Score
3361
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 01 2025 09:00 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 3.27 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% |
939
175.7 IPS |
|
|
Image Classification (F16)
|
100% |
1925
360.2 IPS |
|
|
Image Classification (I8)
|
99% |
1657
310.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
695
11.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
958
16.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
998
16.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6084
7.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
13386
16.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
11930
14.4 IPS |
|
|
Object Detection (F32)
|
100% |
1249
93.2 IPS |
|
|
Object Detection (F16)
|
100% |
1860
138.8 IPS |
|
|
Object Detection (I8)
|
97% |
1318
98.4 IPS |
|
|
Face Detection (F32)
|
100% |
2865
34.1 IPS |
|
|
Face Detection (F16)
|
97% |
5227
62.1 IPS |
|
|
Face Detection (I8)
|
96% |
5442
64.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5379
41.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10408
80.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
10587
82.1 IPS |
|
|
Style Transfer (F32)
|
100% |
15437
20.3 IPS |
|
|
Style Transfer (F16)
|
100% |
27145
35.7 IPS |
|
|
Style Transfer (I8)
|
100% |
23796
31.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3639
130.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4898
174.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5030
179.6 IPS |
|
|
Text Classification (F32)
|
100% |
1993
2.86 KIPS |
|
|
Text Classification (F16)
|
100% |
3373
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
3287
4.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
1054
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1096
20.2 IPS |
|
|
Machine Translation (I8)
|
99% |
959
17.7 IPS |
