MacBook Pro (14-inch, 2023)
Geekbench ML Score
7628
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 07 2025 12:21 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 6 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4496
841.2 IPS |
|
|
Image Classification (F16)
|
100% |
4553
852.0 IPS |
|
|
Image Classification (I8)
|
99% |
4571
855.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2027
33.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2015
33.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2038
34.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
34625
41.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
36525
44.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
36221
43.9 IPS |
|
|
Object Detection (F32)
|
100% |
3203
239.2 IPS |
|
|
Object Detection (F16)
|
100% |
3284
245.2 IPS |
|
|
Object Detection (I8)
|
97% |
3178
237.3 IPS |
|
|
Face Detection (F32)
|
100% |
13485
160.3 IPS |
|
|
Face Detection (F16)
|
98% |
13851
164.7 IPS |
|
|
Face Detection (I8)
|
97% |
13908
165.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
22767
176.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
23680
183.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
23308
180.8 IPS |
|
|
Style Transfer (F32)
|
100% |
59819
78.7 IPS |
|
|
Style Transfer (F16)
|
100% |
69876
91.9 IPS |
|
|
Style Transfer (I8)
|
100% |
70021
92.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11222
400.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8792
314.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9583
342.2 IPS |
|
|
Text Classification (F32)
|
100% |
2144
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
3687
5.30 KIPS |
|
|
Text Classification (I8)
|
96% |
3692
5.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
975
17.9 IPS |
|
|
Machine Translation (F16)
|
100% |
987
18.2 IPS |
|
|
Machine Translation (I8)
|
99% |
982
18.1 IPS |
