MacBook Pro (14-inch, 2021)
Geekbench AI Score
1746
Single Precision Score
11669
Half Precision Score
11901
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Qlab |
| Upload Date | August 17 2024 12:27 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 2.44 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
799
148.7 IPS |
|
|
Image Classification (HP)
|
100% |
6251
1.16 KIPS |
|
|
Image Classification (Q)
|
99% |
6471
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
527
8.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
3715
60.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
3710
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8653
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
67339
78.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
62901
73.8 IPS |
|
|
Object Detection (SP)
|
100% |
926
73.5 IPS |
|
|
Object Detection (HP)
|
99% |
6685
531.7 IPS |
|
|
Object Detection (Q)
|
93% |
6506
519.2 IPS |
|
|
Face Detection (SP)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
10228
121.5 IPS |
|
|
Face Detection (Q)
|
100% |
10502
124.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2865
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
43580
335.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
46477
359.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10171
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
115585
148.6 IPS |
|
|
Style Transfer (Q)
|
100% |
119475
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1951
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17874
660.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
21464
795.2 IPS |
|
|
Text Classification (SP)
|
100% |
715
954.8 IPS |
|
|
Text Classification (HP)
|
100% |
2746
3.67 KIPS |
|
|
Text Classification (Q)
|
93% |
2609
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1772
30.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1777
30.7 IPS |
