MacBook Pro (16-inch, 2023)
Geekbench ML Score
10368
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | alpha_p |
| Upload Date | August 15 2024 07:37 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 8 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4618
864.1 IPS |
|
|
Image Classification (F16)
|
100% |
10465
1.96 KIPS |
|
|
Image Classification (I8)
|
99% |
11597
2.17 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1767
29.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2058
34.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
2004
33.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
41196
49.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
90736
109.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
94365
114.3 IPS |
|
|
Object Detection (F32)
|
100% |
3127
233.5 IPS |
|
|
Object Detection (F16)
|
100% |
3892
290.6 IPS |
|
|
Object Detection (I8)
|
97% |
3130
233.7 IPS |
|
|
Face Detection (F32)
|
100% |
13977
166.2 IPS |
|
|
Face Detection (F16)
|
97% |
18777
223.3 IPS |
|
|
Face Detection (I8)
|
96% |
19336
229.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
24315
188.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
43160
334.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
39780
308.5 IPS |
|
|
Style Transfer (F32)
|
100% |
70163
92.3 IPS |
|
|
Style Transfer (F16)
|
100% |
142928
188.0 IPS |
|
|
Style Transfer (I8)
|
100% |
135131
177.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7903
282.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
27683
988.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
21980
785.0 IPS |
|
|
Text Classification (F32)
|
100% |
1928
2.77 KIPS |
|
|
Text Classification (F16)
|
100% |
3395
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3610
5.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
892
16.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2357
43.4 IPS |
|
|
Machine Translation (I8)
|
99% |
786
14.5 IPS |
