MacBook Pro (14-inch, 2021)
Geekbench AI Score
8470
Single Precision Score
9376
Half Precision Score
7885
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | November 23 2024 07:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
4020
747.5 IPS |
|
|
Image Classification (HP)
|
100% |
4028
749.1 IPS |
|
|
Image Classification (Q)
|
97% |
3433
640.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6290
102.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6414
104.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6384
103.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
32956
38.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34935
40.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
32383
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
3920
311.0 IPS |
|
|
Object Detection (HP)
|
100% |
4099
325.2 IPS |
|
|
Object Detection (Q)
|
91% |
3435
274.5 IPS |
|
|
Face Detection (SP)
|
100% |
13844
164.5 IPS |
|
|
Face Detection (HP)
|
100% |
14545
172.8 IPS |
|
|
Face Detection (Q)
|
100% |
10574
125.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19699
151.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
20644
159.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
17084
133.5 IPS |
|
|
Style Transfer (SP)
|
100% |
53944
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63842
82.1 IPS |
|
|
Style Transfer (Q)
|
96% |
59888
77.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10679
394.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11447
422.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8820
325.7 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4055
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
3899
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1624
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1596
27.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1025
17.7 IPS |
