MacBook Pro (14-inch, 2023)
Geekbench ML Score
6282
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 05:32 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 3.47 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% |
4616
863.9 IPS |
|
|
Image Classification (F16)
|
100% |
4326
809.5 IPS |
|
|
Image Classification (I8)
|
99% |
4120
770.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2011
33.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2018
33.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1989
33.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
34275
41.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
36138
43.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
35832
43.4 IPS |
|
|
Object Detection (F32)
|
100% |
3157
235.7 IPS |
|
|
Object Detection (F16)
|
100% |
3241
241.9 IPS |
|
|
Object Detection (I8)
|
97% |
3086
230.4 IPS |
|
|
Face Detection (F32)
|
100% |
13631
162.1 IPS |
|
|
Face Detection (F16)
|
98% |
14563
173.2 IPS |
|
|
Face Detection (I8)
|
97% |
13717
163.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
22873
177.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
23620
183.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
22157
171.8 IPS |
|
|
Style Transfer (F32)
|
100% |
59589
78.4 IPS |
|
|
Style Transfer (F16)
|
100% |
61609
81.0 IPS |
|
|
Style Transfer (I8)
|
100% |
64679
85.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9195
328.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9670
345.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10843
387.2 IPS |
|
|
Text Classification (F32)
|
100% |
521
749.4 IPS |
|
|
Text Classification (F16)
|
100% |
641
921.7 IPS |
|
|
Text Classification (I8)
|
96% |
556
799.1 IPS |
|
|
Machine Translation (F32)
|
100% |
932
17.2 IPS |
|
|
Machine Translation (F16)
|
100% |
895
16.5 IPS |
|
|
Machine Translation (I8)
|
99% |
816
15.0 IPS |
