MacBook Pro (13-inch, 2022)
Geekbench ML Score
5240
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 07 2025 02:52 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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 | 3.45 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% |
3459
647.3 IPS |
|
|
Image Classification (F16)
|
100% |
2730
510.9 IPS |
|
|
Image Classification (I8)
|
99% |
3535
661.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1146
19.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1430
23.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1488
24.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
22712
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
25135
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25022
30.3 IPS |
|
|
Object Detection (F32)
|
100% |
2822
210.7 IPS |
|
|
Object Detection (F16)
|
100% |
1662
124.1 IPS |
|
|
Object Detection (I8)
|
97% |
1108
82.7 IPS |
|
|
Face Detection (F32)
|
100% |
7642
90.9 IPS |
|
|
Face Detection (F16)
|
98% |
5200
61.8 IPS |
|
|
Face Detection (I8)
|
97% |
10665
126.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15849
122.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17090
132.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
14016
108.7 IPS |
|
|
Style Transfer (F32)
|
100% |
22036
29.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47511
62.5 IPS |
|
|
Style Transfer (I8)
|
100% |
47598
62.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7339
262.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7284
260.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7495
267.7 IPS |
|
|
Text Classification (F32)
|
100% |
2111
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3462
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3493
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1012
18.6 IPS |
|
|
Machine Translation (F16)
|
100% |
874
16.1 IPS |
|
|
Machine Translation (I8)
|
99% |
872
16.0 IPS |
