MacBook Pro (14-inch, 2021)
Geekbench ML Score
2971
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | oleker |
| Upload Date | July 25 2024 11:50 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 | 3.22 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1262
236.2 IPS |
|
|
Image Classification (F16)
|
100% |
1626
304.2 IPS |
|
|
Image Classification (I8)
|
99% |
1619
302.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
720
12.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
706
11.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
712
11.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5383
6.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
12233
14.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
12636
15.3 IPS |
|
|
Object Detection (F32)
|
100% |
1225
91.4 IPS |
|
|
Object Detection (F16)
|
100% |
1702
127.0 IPS |
|
|
Object Detection (I8)
|
97% |
1248
93.2 IPS |
|
|
Face Detection (F32)
|
100% |
2556
30.4 IPS |
|
|
Face Detection (F16)
|
97% |
3921
46.6 IPS |
|
|
Face Detection (I8)
|
97% |
3810
45.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4917
38.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
7676
59.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
7710
59.8 IPS |
|
|
Style Transfer (F32)
|
100% |
14337
18.9 IPS |
|
|
Style Transfer (F16)
|
100% |
22863
30.1 IPS |
|
|
Style Transfer (I8)
|
100% |
22734
29.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3345
119.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4357
155.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4372
156.1 IPS |
|
|
Text Classification (F32)
|
100% |
2015
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3374
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
3304
4.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
784
14.4 IPS |
|
|
Machine Translation (F16)
|
100% |
923
17.0 IPS |
|
|
Machine Translation (I8)
|
99% |
696
12.8 IPS |
