MacBook Pro (13-inch, 2022)
Geekbench ML Score
5625
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 06 2025 08:12 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
3349
626.7 IPS |
|
|
Image Classification (F16)
|
100% |
3376
631.8 IPS |
|
|
Image Classification (I8)
|
99% |
3369
630.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1254
20.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1298
21.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1320
22.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
22576
27.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
24466
29.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
24464
29.6 IPS |
|
|
Object Detection (F32)
|
100% |
2874
214.6 IPS |
|
|
Object Detection (F16)
|
100% |
2915
217.6 IPS |
|
|
Object Detection (I8)
|
97% |
2768
206.7 IPS |
|
|
Face Detection (F32)
|
100% |
8962
106.6 IPS |
|
|
Face Detection (F16)
|
98% |
10124
120.4 IPS |
|
|
Face Detection (I8)
|
97% |
10198
121.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
15777
122.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17422
135.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
16888
131.0 IPS |
|
|
Style Transfer (F32)
|
100% |
41135
54.1 IPS |
|
|
Style Transfer (F16)
|
100% |
46777
61.5 IPS |
|
|
Style Transfer (I8)
|
100% |
46830
61.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5882
210.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6443
230.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6544
233.7 IPS |
|
|
Text Classification (F32)
|
100% |
2074
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3490
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3464
4.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
789
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
819
15.1 IPS |
|
|
Machine Translation (I8)
|
99% |
800
14.7 IPS |
