MacBook Pro (13-inch, 2022)
Geekbench ML Score
3704
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 17 2025 08:19 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 3.48 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% |
1151
215.4 IPS |
|
|
Image Classification (F16)
|
100% |
2320
434.2 IPS |
|
|
Image Classification (I8)
|
99% |
2340
437.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
738
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1037
17.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1125
18.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5894
7.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
14351
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14050
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1257
93.9 IPS |
|
|
Object Detection (F16)
|
100% |
2270
169.5 IPS |
|
|
Object Detection (I8)
|
97% |
1289
96.2 IPS |
|
|
Face Detection (F32)
|
100% |
2909
34.6 IPS |
|
|
Face Detection (F16)
|
97% |
5377
63.9 IPS |
|
|
Face Detection (I8)
|
96% |
5595
66.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5298
41.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
10555
81.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
10649
82.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17144
22.6 IPS |
|
|
Style Transfer (F16)
|
100% |
27049
35.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27404
36.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3787
135.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5078
181.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5248
187.4 IPS |
|
|
Text Classification (F32)
|
100% |
2133
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3464
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3492
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1332
24.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1602
29.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1335
24.6 IPS |
