MacBook Pro (14-inch, 2021)
Geekbench AI Score
3144
Single Precision Score
5168
Half Precision Score
4045
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Cupertino |
| Upload Date | March 13 2026 09:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 2.44 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1107
205.8 IPS |
|
|
Image Classification (HP)
|
100% |
1679
312.2 IPS |
|
|
Image Classification (Q)
|
96% |
1206
225.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1923
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2089
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8939
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19982
23.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15375
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
1284
101.9 IPS |
|
|
Object Detection (HP)
|
97% |
1940
154.5 IPS |
|
|
Object Detection (Q)
|
94% |
1432
114.1 IPS |
|
|
Face Detection (SP)
|
100% |
2793
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
4574
54.3 IPS |
|
|
Face Detection (Q)
|
100% |
2592
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4806
37.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8744
67.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6105
47.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19421
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30704
39.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23838
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3867
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5219
192.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3558
131.4 IPS |
|
|
Text Classification (SP)
|
100% |
2083
2.78 KIPS |
|
|
Text Classification (HP)
|
99% |
3699
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3419
4.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2662
45.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4586
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4614
79.7 IPS |
