MacBook Pro (14-inch, 2021)
Geekbench ML Score
7448
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | danimal99 |
| Upload Date | December 25 2023 04:42 PM |
| Views | 28 |
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 | 3.21 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3796
710.4 IPS |
|
|
Image Classification (F16)
|
100% |
7052
1.32 KIPS |
|
|
Image Classification (I8)
|
99% |
7252
1.36 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1262
21.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
976
16.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
966
16.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
31495
38.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
64930
78.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
64997
78.7 IPS |
|
|
Object Detection (F32)
|
100% |
2783
207.8 IPS |
|
|
Object Detection (F16)
|
100% |
4478
334.3 IPS |
|
|
Object Detection (I8)
|
97% |
2538
189.4 IPS |
|
|
Face Detection (F32)
|
100% |
11523
137.0 IPS |
|
|
Face Detection (F16)
|
97% |
11334
134.8 IPS |
|
|
Face Detection (I8)
|
96% |
11745
139.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
18319
142.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
38773
300.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
38802
300.9 IPS |
|
|
Style Transfer (F32)
|
100% |
50733
66.7 IPS |
|
|
Style Transfer (F16)
|
100% |
111599
146.8 IPS |
|
|
Style Transfer (I8)
|
100% |
117153
154.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7482
267.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17261
616.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16773
599.0 IPS |
|
|
Text Classification (F32)
|
100% |
672
966.3 IPS |
|
|
Text Classification (F16)
|
100% |
2039
2.93 KIPS |
|
|
Text Classification (I8)
|
96% |
1996
2.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
702
12.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2061
37.9 IPS |
|
|
Machine Translation (I8)
|
99% |
622
11.4 IPS |
