MacBook Pro (13-inch, 2022)
Geekbench ML Score
3768
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 19 2025 05:26 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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% |
1305
244.3 IPS |
|
|
Image Classification (F16)
|
100% |
2404
449.8 IPS |
|
|
Image Classification (I8)
|
99% |
2298
430.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
709
11.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
990
16.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1096
18.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6500
7.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
14206
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14116
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1336
99.8 IPS |
|
|
Object Detection (F16)
|
100% |
2262
168.9 IPS |
|
|
Object Detection (I8)
|
97% |
1377
102.8 IPS |
|
|
Face Detection (F32)
|
100% |
3001
35.7 IPS |
|
|
Face Detection (F16)
|
97% |
5609
66.7 IPS |
|
|
Face Detection (I8)
|
97% |
5660
67.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5436
42.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10986
85.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10511
81.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17220
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
28442
37.4 IPS |
|
|
Style Transfer (I8)
|
100% |
28416
37.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4044
144.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5019
179.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5009
178.9 IPS |
|
|
Text Classification (F32)
|
100% |
2115
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3505
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3511
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1352
24.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1586
29.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1356
25.0 IPS |
