MacBook Pro (13-inch, 2022)
Geekbench ML Score
3703
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 07 2025 06:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.06 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% |
1129
211.3 IPS |
|
|
Image Classification (F16)
|
100% |
2069
387.2 IPS |
|
|
Image Classification (I8)
|
99% |
1919
359.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
799
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1089
18.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
985
16.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6349
7.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
12139
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
14671
17.8 IPS |
|
|
Object Detection (F32)
|
100% |
1440
107.5 IPS |
|
|
Object Detection (F16)
|
100% |
2403
179.4 IPS |
|
|
Object Detection (I8)
|
97% |
1373
102.5 IPS |
|
|
Face Detection (F32)
|
100% |
3051
36.3 IPS |
|
|
Face Detection (F16)
|
97% |
5845
69.5 IPS |
|
|
Face Detection (I8)
|
96% |
5552
66.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5516
42.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10907
84.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10905
84.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17843
23.5 IPS |
|
|
Style Transfer (F16)
|
100% |
28108
37.0 IPS |
|
|
Style Transfer (I8)
|
100% |
28326
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4055
144.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5118
182.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5024
179.4 IPS |
|
|
Text Classification (F32)
|
100% |
2118
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3257
4.68 KIPS |
|
|
Text Classification (I8)
|
96% |
3396
4.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
1274
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1627
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1188
21.9 IPS |
