MacBook Pro (13-inch, 2022)
Geekbench ML Score
5971
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 30 2025 06:50 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5068b) |
| 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 | 3.46 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3311
619.7 IPS |
|
|
Image Classification (F16)
|
100% |
3366
629.8 IPS |
|
|
Image Classification (I8)
|
99% |
3245
607.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1388
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1262
21.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1490
24.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23461
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25564
31.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
25497
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
2854
213.1 IPS |
|
|
Object Detection (F16)
|
100% |
2918
217.8 IPS |
|
|
Object Detection (I8)
|
97% |
2829
211.2 IPS |
|
|
Face Detection (F32)
|
100% |
8504
101.1 IPS |
|
|
Face Detection (F16)
|
98% |
10269
122.1 IPS |
|
|
Face Detection (I8)
|
97% |
9983
118.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16410
127.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17599
136.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
17166
133.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40461
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
47410
62.4 IPS |
|
|
Style Transfer (I8)
|
100% |
47659
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9616
343.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9149
326.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5418
193.5 IPS |
|
|
Text Classification (F32)
|
100% |
2017
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3486
5.01 KIPS |
|
|
Text Classification (I8)
|
96% |
3482
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1083
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1070
19.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1056
19.4 IPS |
