MacBook Pro (14-inch, 2021)
Geekbench AI Score
9485
Single Precision Score
10455
Half Precision Score
9316
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Skyforger |
| Upload Date | March 07 2026 08:39 PM |
| Views | 6 |
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% |
4016
746.8 IPS |
|
|
Image Classification (HP)
|
100% |
4085
759.8 IPS |
|
|
Image Classification (Q)
|
94% |
3865
722.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7347
119.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7478
121.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7130
115.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
32853
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
36079
42.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34707
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3962
314.3 IPS |
|
|
Object Detection (HP)
|
100% |
4034
320.0 IPS |
|
|
Object Detection (Q)
|
91% |
3875
309.7 IPS |
|
|
Face Detection (SP)
|
100% |
14516
172.5 IPS |
|
|
Face Detection (HP)
|
100% |
15194
180.5 IPS |
|
|
Face Detection (Q)
|
100% |
13875
164.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19918
153.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18895
145.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
17731
138.6 IPS |
|
|
Style Transfer (SP)
|
100% |
54059
69.5 IPS |
|
|
Style Transfer (HP)
|
100% |
64620
83.1 IPS |
|
|
Style Transfer (Q)
|
96% |
63171
81.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10687
394.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11339
418.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9871
364.5 IPS |
|
|
Text Classification (SP)
|
100% |
2404
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4127
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4113
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3823
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4046
69.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2106
36.4 IPS |
