MacBook Pro (13-inch, 2022)
Geekbench ML Score
5886
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 01 2025 05:51 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2323
434.7 IPS |
|
|
Image Classification (F16)
|
100% |
3481
651.3 IPS |
|
|
Image Classification (I8)
|
99% |
3379
632.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
872
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1373
22.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1326
22.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23123
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25158
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
23619
28.6 IPS |
|
|
Object Detection (F32)
|
100% |
2880
215.0 IPS |
|
|
Object Detection (F16)
|
100% |
2904
216.8 IPS |
|
|
Object Detection (I8)
|
97% |
2864
213.8 IPS |
|
|
Face Detection (F32)
|
100% |
7181
85.4 IPS |
|
|
Face Detection (F16)
|
98% |
9802
116.5 IPS |
|
|
Face Detection (I8)
|
97% |
10187
121.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16130
125.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17883
138.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
15717
121.9 IPS |
|
|
Style Transfer (F32)
|
100% |
39353
51.8 IPS |
|
|
Style Transfer (F16)
|
100% |
45547
59.9 IPS |
|
|
Style Transfer (I8)
|
100% |
47750
62.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9777
349.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8841
315.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10892
389.0 IPS |
|
|
Text Classification (F32)
|
100% |
2089
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3332
4.79 KIPS |
|
|
Text Classification (I8)
|
96% |
3471
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
1099
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1146
21.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1097
20.2 IPS |
