MacBook Pro (16-inch, 2021)
Geekbench ML Score
5263
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 24 2024 06:40 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 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% |
3606
674.7 IPS |
|
|
Image Classification (F16)
|
100% |
3722
696.5 IPS |
|
|
Image Classification (I8)
|
99% |
3373
631.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1310
21.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1252
20.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1243
20.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
31681
38.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
32577
39.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
31866
38.6 IPS |
|
|
Object Detection (F32)
|
100% |
2817
210.3 IPS |
|
|
Object Detection (F16)
|
100% |
2902
216.7 IPS |
|
|
Object Detection (I8)
|
97% |
2681
200.2 IPS |
|
|
Face Detection (F32)
|
100% |
11744
139.6 IPS |
|
|
Face Detection (F16)
|
98% |
12249
145.6 IPS |
|
|
Face Detection (I8)
|
97% |
11161
132.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
19119
148.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
19608
152.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
17841
138.4 IPS |
|
|
Style Transfer (F32)
|
100% |
47335
62.3 IPS |
|
|
Style Transfer (F16)
|
100% |
55552
73.1 IPS |
|
|
Style Transfer (I8)
|
100% |
56031
73.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7826
279.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7484
267.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6930
247.5 IPS |
|
|
Text Classification (F32)
|
100% |
811
1.17 KIPS |
|
|
Text Classification (F16)
|
100% |
644
925.1 IPS |
|
|
Text Classification (I8)
|
96% |
476
684.7 IPS |
|
|
Machine Translation (F32)
|
100% |
779
14.3 IPS |
|
|
Machine Translation (F16)
|
100% |
791
14.6 IPS |
|
|
Machine Translation (I8)
|
99% |
665
12.2 IPS |
