MacBook Pro (14-inch, 2021)
Geekbench AI Score
1793
Single Precision Score
1968
Half Precision Score
1418
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | iro |
| Upload Date | September 21 2024 10:03 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| 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 | 3.18 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
885
164.6 IPS |
|
|
Image Classification (HP)
|
100% |
872
162.2 IPS |
|
|
Image Classification (Q)
|
99% |
876
163.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
593
9.61 IPS |
|
|
Image Segmentation (Q)
|
100% |
594
9.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
9932
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14437
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
6435
7.54 IPS |
|
|
Object Detection (SP)
|
100% |
844
67.0 IPS |
|
|
Object Detection (HP)
|
98% |
874
69.5 IPS |
|
|
Object Detection (Q)
|
94% |
468
37.3 IPS |
|
|
Face Detection (SP)
|
100% |
1705
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
1501
17.8 IPS |
|
|
Face Detection (Q)
|
100% |
633
7.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
3441
26.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2934
22.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
2874
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12681
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13498
17.4 IPS |
|
|
Style Transfer (Q)
|
100% |
13372
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2052
75.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2261
83.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
885
32.8 IPS |
|
|
Text Classification (SP)
|
100% |
325
433.9 IPS |
|
|
Text Classification (HP)
|
100% |
560
747.2 IPS |
|
|
Text Classification (Q)
|
93% |
555
744.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1414
24.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1781
30.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1766
30.5 IPS |
