MacBook Pro (13-inch, 2022)
Geekbench ML Score
3784
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 30 2025 06:39 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | 3.22 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% |
1225
229.3 IPS |
|
|
Image Classification (F16)
|
100% |
2378
445.0 IPS |
|
|
Image Classification (I8)
|
99% |
2365
442.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
815
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1128
18.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1015
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5905
7.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
14367
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14293
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1354
101.1 IPS |
|
|
Object Detection (F16)
|
100% |
2450
182.9 IPS |
|
|
Object Detection (I8)
|
97% |
1350
100.8 IPS |
|
|
Face Detection (F32)
|
100% |
2968
35.3 IPS |
|
|
Face Detection (F16)
|
97% |
5851
69.6 IPS |
|
|
Face Detection (I8)
|
96% |
5890
70.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5211
40.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11072
85.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
10857
84.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17678
23.3 IPS |
|
|
Style Transfer (F16)
|
100% |
26956
35.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27255
35.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3894
139.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5125
183.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5118
182.8 IPS |
|
|
Text Classification (F32)
|
100% |
2064
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3377
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
3456
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
1373
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1677
30.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1331
24.5 IPS |
