MacBook Pro (14-inch, 2021)
Geekbench ML Score
5192
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | mrdbourke |
| Upload Date | December 14 2023 01:10 AM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.1.2 (Build 23B92) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3762
704.1 IPS |
|
|
Image Classification (F16)
|
100% |
3687
690.0 IPS |
|
|
Image Classification (I8)
|
99% |
3189
596.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1362
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1358
22.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1361
22.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
31412
38.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
32358
39.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
31483
38.1 IPS |
|
|
Object Detection (F32)
|
100% |
2777
207.3 IPS |
|
|
Object Detection (F16)
|
100% |
2883
215.3 IPS |
|
|
Object Detection (I8)
|
97% |
2671
199.4 IPS |
|
|
Face Detection (F32)
|
100% |
12002
142.7 IPS |
|
|
Face Detection (F16)
|
97% |
12153
144.5 IPS |
|
|
Face Detection (I8)
|
96% |
11389
135.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
19033
147.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
19364
150.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
17371
134.7 IPS |
|
|
Style Transfer (F32)
|
100% |
50162
66.0 IPS |
|
|
Style Transfer (F16)
|
100% |
59832
78.7 IPS |
|
|
Style Transfer (I8)
|
100% |
60702
79.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8659
309.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9366
334.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7720
275.7 IPS |
|
|
Text Classification (F32)
|
100% |
382
548.8 IPS |
|
|
Text Classification (F16)
|
100% |
545
783.9 IPS |
|
|
Text Classification (I8)
|
96% |
457
657.2 IPS |
|
|
Machine Translation (F32)
|
100% |
716
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
725
13.4 IPS |
|
|
Machine Translation (I8)
|
99% |
632
11.6 IPS |
