MacBook Pro (13-inch, 2022)
Geekbench ML Score
3467
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 11 2025 03:58 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5057f) |
| 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% |
1102
206.3 IPS |
|
|
Image Classification (F16)
|
100% |
2156
403.5 IPS |
|
|
Image Classification (I8)
|
99% |
2190
409.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
740
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1015
17.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
966
16.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5631
6.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
13926
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
11708
14.2 IPS |
|
|
Object Detection (F32)
|
100% |
1229
91.7 IPS |
|
|
Object Detection (F16)
|
100% |
2030
151.5 IPS |
|
|
Object Detection (I8)
|
97% |
1058
79.0 IPS |
|
|
Face Detection (F32)
|
100% |
2581
30.7 IPS |
|
|
Face Detection (F16)
|
97% |
5189
61.7 IPS |
|
|
Face Detection (I8)
|
96% |
5110
60.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5152
40.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10465
81.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
8059
62.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17505
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
26767
35.2 IPS |
|
|
Style Transfer (I8)
|
100% |
26124
34.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3808
136.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5197
185.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5206
185.9 IPS |
|
|
Text Classification (F32)
|
100% |
1998
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
3095
4.45 KIPS |
|
|
Text Classification (I8)
|
96% |
3343
4.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
1224
22.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1457
26.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1251
23.0 IPS |
