MacBook Pro (13-inch, 2022)
Geekbench ML Score
5025
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 01 2025 06:55 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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 | 3.30 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% |
2893
541.3 IPS |
|
|
Image Classification (F16)
|
100% |
2984
558.5 IPS |
|
|
Image Classification (I8)
|
99% |
2987
559.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1336
22.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1451
24.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1006
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22389
27.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
24421
29.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
22954
27.8 IPS |
|
|
Object Detection (F32)
|
100% |
2492
186.0 IPS |
|
|
Object Detection (F16)
|
100% |
2557
190.9 IPS |
|
|
Object Detection (I8)
|
97% |
2690
200.9 IPS |
|
|
Face Detection (F32)
|
100% |
7326
87.1 IPS |
|
|
Face Detection (F16)
|
98% |
9991
118.8 IPS |
|
|
Face Detection (I8)
|
97% |
10206
121.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15091
117.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
16914
131.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
15779
122.4 IPS |
|
|
Style Transfer (F32)
|
100% |
38952
51.2 IPS |
|
|
Style Transfer (F16)
|
100% |
45625
60.0 IPS |
|
|
Style Transfer (I8)
|
100% |
45324
59.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6150
219.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5608
200.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6104
218.0 IPS |
|
|
Text Classification (F32)
|
100% |
842
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
1557
2.24 KIPS |
|
|
Text Classification (I8)
|
96% |
1529
2.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
826
15.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1100
20.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1081
19.9 IPS |
