MacBook Pro (14-inch, 2021)
Geekbench AI Score
1522
Single Precision Score
11733
Half Precision Score
12091
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | fearlipe |
| Upload Date | August 16 2024 07:19 AM |
| Views | 5 |
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, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.15 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
680
126.4 IPS |
|
|
Image Classification (HP)
|
100% |
6581
1.22 KIPS |
|
|
Image Classification (Q)
|
99% |
6865
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
501
8.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
3710
60.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
3691
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7575
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
67939
79.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
64768
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
763
60.5 IPS |
|
|
Object Detection (HP)
|
99% |
6926
550.9 IPS |
|
|
Object Detection (Q)
|
93% |
6375
508.7 IPS |
|
|
Face Detection (SP)
|
100% |
1316
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
10098
120.0 IPS |
|
|
Face Detection (Q)
|
100% |
10701
127.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2470
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
43761
337.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
46338
358.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9470
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
114404
147.1 IPS |
|
|
Style Transfer (Q)
|
100% |
119685
153.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1854
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17997
664.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
22186
822.0 IPS |
|
|
Text Classification (SP)
|
100% |
658
877.8 IPS |
|
|
Text Classification (HP)
|
100% |
2375
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2439
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1993
34.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1988
34.4 IPS |
