MacBook Pro (14-inch, 2021)
Geekbench ML Score
7691
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | oleker |
| Upload Date | July 25 2024 11:54 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.21 GHz |
| Cluster 1 | 6 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% |
3248
607.8 IPS |
|
|
Image Classification (F16)
|
100% |
6020
1.13 KIPS |
|
|
Image Classification (I8)
|
99% |
7398
1.38 KIPS |
|
|
Image Segmentation (F32)
|
100% |
986
16.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3480
58.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
3261
54.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
28297
34.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
62779
76.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
64211
77.8 IPS |
|
|
Object Detection (F32)
|
100% |
2704
201.9 IPS |
|
|
Object Detection (F16)
|
100% |
4275
319.1 IPS |
|
|
Object Detection (I8)
|
97% |
2437
182.0 IPS |
|
|
Face Detection (F32)
|
100% |
10152
120.7 IPS |
|
|
Face Detection (F16)
|
97% |
10842
128.9 IPS |
|
|
Face Detection (I8)
|
96% |
10470
124.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16911
131.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
29178
226.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
29217
226.6 IPS |
|
|
Style Transfer (F32)
|
100% |
47240
62.1 IPS |
|
|
Style Transfer (F16)
|
100% |
100495
132.2 IPS |
|
|
Style Transfer (I8)
|
100% |
117485
154.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8849
316.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16700
596.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17403
621.5 IPS |
|
|
Text Classification (F32)
|
100% |
601
864.4 IPS |
|
|
Text Classification (F16)
|
100% |
2062
2.96 KIPS |
|
|
Text Classification (I8)
|
96% |
2014
2.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
786
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2301
42.4 IPS |
|
|
Machine Translation (I8)
|
99% |
679
12.5 IPS |
