MacBook Pro (14-inch, 2021)
Geekbench AI Score
6670
Single Precision Score
7107
Half Precision Score
6266
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | gerald |
| Upload Date | August 15 2024 06:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3697
687.5 IPS |
|
|
Image Classification (HP)
|
100% |
3830
712.3 IPS |
|
|
Image Classification (Q)
|
99% |
3268
609.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6025
97.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6124
99.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
5941
96.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
32959
38.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34344
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30485
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
3740
296.7 IPS |
|
|
Object Detection (HP)
|
100% |
3932
311.9 IPS |
|
|
Object Detection (Q)
|
92% |
3011
240.3 IPS |
|
|
Face Detection (SP)
|
100% |
12593
149.6 IPS |
|
|
Face Detection (HP)
|
100% |
13124
155.9 IPS |
|
|
Face Detection (Q)
|
100% |
9112
108.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19513
150.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
20074
154.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
19814
153.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53455
68.7 IPS |
|
|
Style Transfer (HP)
|
100% |
63091
81.1 IPS |
|
|
Style Transfer (Q)
|
100% |
63712
81.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11103
410.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11649
430.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8574
317.6 IPS |
|
|
Text Classification (SP)
|
100% |
437
583.5 IPS |
|
|
Text Classification (HP)
|
100% |
541
721.5 IPS |
|
|
Text Classification (Q)
|
93% |
538
722.7 IPS |
|
|
Machine Translation (SP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
988
17.1 IPS |
