MacBook Pro (14-inch, 2021)
Geekbench ML Score
5185
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | oleker |
| Upload Date | July 25 2024 11:52 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 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% |
3354
627.6 IPS |
|
|
Image Classification (F16)
|
100% |
3517
658.1 IPS |
|
|
Image Classification (I8)
|
99% |
2992
559.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1301
21.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1256
21.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1233
20.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
28593
34.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
29384
35.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
28808
34.9 IPS |
|
|
Object Detection (F32)
|
100% |
2719
203.0 IPS |
|
|
Object Detection (F16)
|
100% |
2826
210.9 IPS |
|
|
Object Detection (I8)
|
97% |
2516
187.8 IPS |
|
|
Face Detection (F32)
|
100% |
11185
133.0 IPS |
|
|
Face Detection (F16)
|
98% |
11454
136.2 IPS |
|
|
Face Detection (I8)
|
97% |
10771
128.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16955
131.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17437
135.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
15734
122.0 IPS |
|
|
Style Transfer (F32)
|
100% |
44677
58.8 IPS |
|
|
Style Transfer (F16)
|
100% |
52575
69.2 IPS |
|
|
Style Transfer (I8)
|
100% |
55500
73.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8988
321.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8844
315.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7181
256.4 IPS |
|
|
Text Classification (F32)
|
100% |
984
1.41 KIPS |
|
|
Text Classification (F16)
|
100% |
644
926.3 IPS |
|
|
Text Classification (I8)
|
96% |
647
929.5 IPS |
|
|
Machine Translation (F32)
|
100% |
791
14.6 IPS |
|
|
Machine Translation (F16)
|
100% |
803
14.8 IPS |
|
|
Machine Translation (I8)
|
99% |
673
12.4 IPS |
