MacBook Pro (13-inch, 2022)
Geekbench ML Score
3677
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 14 2025 06:27 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5228e) |
| 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 | 3.47 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% |
1301
243.5 IPS |
|
|
Image Classification (F16)
|
100% |
2397
448.5 IPS |
|
|
Image Classification (I8)
|
99% |
2312
432.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
787
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
993
16.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
984
16.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5921
7.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
12988
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
11824
14.3 IPS |
|
|
Object Detection (F32)
|
100% |
1308
97.7 IPS |
|
|
Object Detection (F16)
|
100% |
2016
150.5 IPS |
|
|
Object Detection (I8)
|
97% |
1282
95.7 IPS |
|
|
Face Detection (F32)
|
100% |
2937
34.9 IPS |
|
|
Face Detection (F16)
|
97% |
5563
66.2 IPS |
|
|
Face Detection (I8)
|
97% |
5423
64.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5559
43.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
10863
84.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10715
83.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17763
23.4 IPS |
|
|
Style Transfer (F16)
|
100% |
28341
37.3 IPS |
|
|
Style Transfer (I8)
|
100% |
28358
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4016
143.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4373
156.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4979
177.8 IPS |
|
|
Text Classification (F32)
|
100% |
2101
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3422
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3508
5.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1371
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1607
29.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1368
25.2 IPS |
