MacBook Pro (13-inch, 2022)
Geekbench ML Score
3756
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 12 2025 07:38 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 | 2.95 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% |
1370
256.4 IPS |
|
|
Image Classification (F16)
|
100% |
2417
452.3 IPS |
|
|
Image Classification (I8)
|
99% |
2498
467.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
777
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1088
18.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1102
18.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6491
7.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
14460
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
12363
15.0 IPS |
|
|
Object Detection (F32)
|
100% |
1140
85.1 IPS |
|
|
Object Detection (F16)
|
100% |
1930
144.1 IPS |
|
|
Object Detection (I8)
|
97% |
1347
100.5 IPS |
|
|
Face Detection (F32)
|
100% |
3003
35.7 IPS |
|
|
Face Detection (F16)
|
97% |
5492
65.3 IPS |
|
|
Face Detection (I8)
|
97% |
5657
67.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5541
43.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11050
85.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
10957
85.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17900
23.5 IPS |
|
|
Style Transfer (F16)
|
100% |
28219
37.1 IPS |
|
|
Style Transfer (I8)
|
100% |
28142
37.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4113
146.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5190
185.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5179
185.0 IPS |
|
|
Text Classification (F32)
|
100% |
2102
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3460
4.97 KIPS |
|
|
Text Classification (I8)
|
96% |
3401
4.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
1266
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1577
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1360
25.0 IPS |
