MacBook Pro (16-inch, 2021)
Geekbench ML Score
8412
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Diomes138 |
| Upload Date | October 21 2024 09:16 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3552
664.7 IPS |
|
|
Image Classification (F16)
|
100% |
6629
1.24 KIPS |
|
|
Image Classification (I8)
|
99% |
6919
1.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1423
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1473
24.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1422
23.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
30976
37.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
62279
75.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
63811
77.3 IPS |
|
|
Object Detection (F32)
|
100% |
2872
214.4 IPS |
|
|
Object Detection (F16)
|
100% |
4410
329.2 IPS |
|
|
Object Detection (I8)
|
97% |
2659
198.5 IPS |
|
|
Face Detection (F32)
|
100% |
10938
130.1 IPS |
|
|
Face Detection (F16)
|
97% |
11161
132.7 IPS |
|
|
Face Detection (I8)
|
96% |
11201
133.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
18954
147.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
34483
267.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
35256
273.4 IPS |
|
|
Style Transfer (F32)
|
100% |
50806
66.8 IPS |
|
|
Style Transfer (F16)
|
100% |
111601
146.8 IPS |
|
|
Style Transfer (I8)
|
100% |
111923
147.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7466
266.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21561
770.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
23153
826.9 IPS |
|
|
Text Classification (F32)
|
100% |
2089
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3547
5.10 KIPS |
|
|
Text Classification (I8)
|
96% |
3555
5.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
814
15.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2245
41.3 IPS |
|
|
Machine Translation (I8)
|
99% |
776
14.3 IPS |
