MacBook Pro (14-inch, 2021)
Geekbench AI Score
9530
Single Precision Score
10440
Half Precision Score
9257
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Skyforger |
| Upload Date | March 07 2026 08:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
4085
759.7 IPS |
|
|
Image Classification (HP)
|
100% |
4017
747.0 IPS |
|
|
Image Classification (Q)
|
94% |
3881
725.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7339
119.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7479
121.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7120
115.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
32888
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35931
41.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
34666
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
4025
319.3 IPS |
|
|
Object Detection (HP)
|
100% |
4039
320.3 IPS |
|
|
Object Detection (Q)
|
91% |
3949
315.6 IPS |
|
|
Face Detection (SP)
|
100% |
14503
172.3 IPS |
|
|
Face Detection (HP)
|
100% |
15196
180.6 IPS |
|
|
Face Detection (Q)
|
100% |
13811
164.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19874
153.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18808
144.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
17714
138.5 IPS |
|
|
Style Transfer (SP)
|
100% |
54036
69.5 IPS |
|
|
Style Transfer (HP)
|
100% |
64526
82.9 IPS |
|
|
Style Transfer (Q)
|
96% |
63290
81.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10724
396.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11409
421.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9839
363.3 IPS |
|
|
Text Classification (SP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (HP)
|
99% |
4151
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4128
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3815
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4043
69.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1944
33.6 IPS |
