MacBook Pro (14-inch, 2021)
Geekbench AI Score
3143
Single Precision Score
12365
Half Precision Score
12361
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Cupertino |
| Upload Date | March 13 2026 09:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1148
213.4 IPS |
|
|
Image Classification (HP)
|
100% |
4044
752.0 IPS |
|
|
Image Classification (Q)
|
96% |
5283
986.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7848
127.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8051
130.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8981
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
62021
72.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
61727
72.3 IPS |
|
|
Object Detection (SP)
|
100% |
1303
103.4 IPS |
|
|
Object Detection (HP)
|
99% |
6075
483.2 IPS |
|
|
Object Detection (Q)
|
91% |
5091
406.8 IPS |
|
|
Face Detection (SP)
|
100% |
2846
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
10692
127.0 IPS |
|
|
Face Detection (Q)
|
100% |
10701
127.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4809
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
33258
256.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
32503
254.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19164
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
98812
127.0 IPS |
|
|
Style Transfer (Q)
|
96% |
98175
126.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3710
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13992
516.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14077
519.8 IPS |
|
|
Text Classification (SP)
|
100% |
2016
2.69 KIPS |
|
|
Text Classification (HP)
|
99% |
3748
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3430
4.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2681
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3792
65.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3782
65.4 IPS |
