MacBook Pro (13-inch, 2022)
Geekbench ML Score
3850
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 13 2025 08:20 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.48 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% |
1384
258.9 IPS |
|
|
Image Classification (F16)
|
100% |
2510
469.6 IPS |
|
|
Image Classification (I8)
|
99% |
2489
465.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
829
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1121
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1122
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6538
7.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
14337
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14236
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1434
107.1 IPS |
|
|
Object Detection (F16)
|
100% |
2149
160.5 IPS |
|
|
Object Detection (I8)
|
97% |
1380
103.0 IPS |
|
|
Face Detection (F32)
|
100% |
3073
36.5 IPS |
|
|
Face Detection (F16)
|
97% |
5796
68.9 IPS |
|
|
Face Detection (I8)
|
97% |
5847
69.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5689
44.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
11658
90.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
10342
80.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17744
23.3 IPS |
|
|
Style Transfer (F16)
|
100% |
28202
37.1 IPS |
|
|
Style Transfer (I8)
|
100% |
28275
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4203
150.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5037
179.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5061
180.8 IPS |
|
|
Text Classification (F32)
|
100% |
2038
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3445
4.95 KIPS |
|
|
Text Classification (I8)
|
96% |
3452
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
1364
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1606
29.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1249
23.0 IPS |
