MacBook Pro (13-inch, 2022)
Geekbench ML Score
3744
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 22 2025 07:04 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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% |
1289
241.3 IPS |
|
|
Image Classification (F16)
|
100% |
2401
449.2 IPS |
|
|
Image Classification (I8)
|
99% |
2404
449.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
758
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
976
16.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1007
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6508
7.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
14144
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
11827
14.3 IPS |
|
|
Object Detection (F32)
|
100% |
1394
104.1 IPS |
|
|
Object Detection (F16)
|
100% |
2322
173.4 IPS |
|
|
Object Detection (I8)
|
97% |
1366
102.0 IPS |
|
|
Face Detection (F32)
|
100% |
3066
36.5 IPS |
|
|
Face Detection (F16)
|
97% |
5862
69.7 IPS |
|
|
Face Detection (I8)
|
96% |
5647
67.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5337
41.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10405
80.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
10966
85.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17648
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
28291
37.2 IPS |
|
|
Style Transfer (I8)
|
100% |
28159
37.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4102
146.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5006
178.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5064
180.8 IPS |
|
|
Text Classification (F32)
|
100% |
2069
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3513
5.05 KIPS |
|
|
Text Classification (I8)
|
96% |
3403
4.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
1346
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1537
28.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1288
23.7 IPS |
