MacBook Pro (14-inch, 2021)
Geekbench AI Score
3669
Single Precision Score
5685
Half Precision Score
4834
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Eterius |
| Upload Date | August 16 2024 11:19 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
2021
375.9 IPS |
|
|
Image Classification (Q)
|
99% |
2019
376.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1565
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2270
36.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2262
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11195
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21937
25.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
17060
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
97% |
2326
185.2 IPS |
|
|
Object Detection (Q)
|
94% |
1717
136.9 IPS |
|
|
Face Detection (SP)
|
100% |
3169
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
5314
63.1 IPS |
|
|
Face Detection (Q)
|
100% |
3092
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5770
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10709
82.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
10531
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22160
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34585
44.5 IPS |
|
|
Style Transfer (Q)
|
100% |
34462
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4313
159.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6169
227.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3910
144.9 IPS |
|
|
Text Classification (SP)
|
100% |
2196
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3818
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3758
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3225
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3252
56.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3164
54.7 IPS |
