MacBook Pro (14-inch, 2021)
Geekbench AI Score
3592
Single Precision Score
5975
Half Precision Score
4798
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | CatCat |
| Upload Date | February 17 2026 07:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
2079
386.5 IPS |
|
|
Image Classification (Q)
|
96% |
1503
280.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1490
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2558
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10514
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
23141
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17721
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
97% |
2350
187.1 IPS |
|
|
Object Detection (Q)
|
94% |
1724
137.4 IPS |
|
|
Face Detection (SP)
|
100% |
3279
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5475
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3175
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5670
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10562
81.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7316
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21992
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35081
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28074
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4066
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5463
201.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4000
147.7 IPS |
|
|
Text Classification (SP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4133
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4107
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2998
51.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5139
88.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5140
88.8 IPS |
