MacBook Pro (13-inch, 2022)
Geekbench ML Score
3732
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 27 2025 08:21 PM |
| Views | 9 |
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 | 3.46 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% |
1316
246.2 IPS |
|
|
Image Classification (F16)
|
100% |
2200
411.6 IPS |
|
|
Image Classification (I8)
|
99% |
2294
429.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
732
12.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1012
16.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1101
18.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6235
7.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
13992
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14183
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1128
84.2 IPS |
|
|
Object Detection (F16)
|
100% |
2305
172.1 IPS |
|
|
Object Detection (I8)
|
97% |
1428
106.6 IPS |
|
|
Face Detection (F32)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (F16)
|
97% |
5642
67.1 IPS |
|
|
Face Detection (I8)
|
97% |
5626
66.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5448
42.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10583
82.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10647
82.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17797
23.4 IPS |
|
|
Style Transfer (F16)
|
100% |
28346
37.3 IPS |
|
|
Style Transfer (I8)
|
100% |
28395
37.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3943
140.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4978
177.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5251
187.5 IPS |
|
|
Text Classification (F32)
|
100% |
2086
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3349
4.81 KIPS |
|
|
Text Classification (I8)
|
96% |
3329
4.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
1359
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1587
29.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1362
25.1 IPS |
