MacBook Pro (14-inch, 2021)
Geekbench ML Score
6462
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | mrdbourke |
| Upload Date | December 14 2023 01:12 AM |
| Views | 52 |
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 | 547 MHz |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1088
203.5 IPS |
|
|
Image Classification (F16)
|
100% |
1754
328.3 IPS |
|
|
Image Classification (I8)
|
99% |
2620
490.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1251
20.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
996
16.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
988
16.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
31293
37.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
63470
76.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
58583
70.9 IPS |
|
|
Object Detection (F32)
|
100% |
2815
210.2 IPS |
|
|
Object Detection (F16)
|
100% |
4385
327.4 IPS |
|
|
Object Detection (I8)
|
97% |
2701
201.7 IPS |
|
|
Face Detection (F32)
|
100% |
11514
136.9 IPS |
|
|
Face Detection (F16)
|
97% |
11289
134.2 IPS |
|
|
Face Detection (I8)
|
96% |
11462
136.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
19031
147.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
35817
277.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
28985
224.8 IPS |
|
|
Style Transfer (F32)
|
100% |
50291
66.2 IPS |
|
|
Style Transfer (F16)
|
100% |
111421
146.6 IPS |
|
|
Style Transfer (I8)
|
100% |
112192
147.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7227
258.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16826
600.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17263
616.5 IPS |
|
|
Text Classification (F32)
|
100% |
481
691.1 IPS |
|
|
Text Classification (F16)
|
100% |
2026
2.91 KIPS |
|
|
Text Classification (I8)
|
96% |
2042
2.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
748
13.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2314
42.6 IPS |
|
|
Machine Translation (I8)
|
99% |
641
11.8 IPS |
