MacBook Pro (14-inch, 2021)
Geekbench AI Score
6861
Single Precision Score
6894
Half Precision Score
6173
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | pingwinator |
| Upload Date | August 16 2024 01:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 3.17 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3634
675.8 IPS |
|
|
Image Classification (HP)
|
100% |
3804
707.4 IPS |
|
|
Image Classification (Q)
|
99% |
3220
600.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5885
95.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6019
97.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
5811
94.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
32477
37.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34038
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
30247
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
3281
260.3 IPS |
|
|
Object Detection (HP)
|
100% |
3797
301.2 IPS |
|
|
Object Detection (Q)
|
92% |
3002
239.6 IPS |
|
|
Face Detection (SP)
|
100% |
11975
142.3 IPS |
|
|
Face Detection (HP)
|
100% |
12832
152.5 IPS |
|
|
Face Detection (Q)
|
100% |
8834
105.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19351
149.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19613
151.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
19513
150.9 IPS |
|
|
Style Transfer (SP)
|
100% |
52123
67.0 IPS |
|
|
Style Transfer (HP)
|
100% |
61796
79.4 IPS |
|
|
Style Transfer (Q)
|
100% |
62756
80.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10705
395.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11436
422.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8104
300.2 IPS |
|
|
Text Classification (SP)
|
100% |
949
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
575
768.1 IPS |
|
|
Text Classification (Q)
|
93% |
566
760.0 IPS |
|
|
Machine Translation (SP)
|
100% |
827
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
954
16.5 IPS |
