MacBook Pro (13-inch, 2022)
Geekbench ML Score
3561
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 26 2025 05:32 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053j) |
| 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 | 3.20 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% |
1098
205.4 IPS |
|
|
Image Classification (F16)
|
100% |
2011
376.3 IPS |
|
|
Image Classification (I8)
|
99% |
2328
435.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
811
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1112
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1006
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6319
7.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
13216
16.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14230
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1424
106.3 IPS |
|
|
Object Detection (F16)
|
100% |
2302
171.9 IPS |
|
|
Object Detection (I8)
|
97% |
1367
102.1 IPS |
|
|
Face Detection (F32)
|
100% |
2584
30.7 IPS |
|
|
Face Detection (F16)
|
97% |
5476
65.1 IPS |
|
|
Face Detection (I8)
|
97% |
4485
53.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5086
39.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9892
76.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
10605
82.2 IPS |
|
|
Style Transfer (F32)
|
100% |
16131
21.2 IPS |
|
|
Style Transfer (F16)
|
100% |
21437
28.2 IPS |
|
|
Style Transfer (I8)
|
100% |
28162
37.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4114
146.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5128
183.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4863
173.7 IPS |
|
|
Text Classification (F32)
|
100% |
1762
2.53 KIPS |
|
|
Text Classification (F16)
|
100% |
3328
4.78 KIPS |
|
|
Text Classification (I8)
|
96% |
2865
4.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
1191
21.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1596
29.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1320
24.3 IPS |
