MacBook Pro (14-inch, 2021)
Geekbench AI Score
8072
Single Precision Score
9575
Half Precision Score
8522
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Cupertino |
| Upload Date | March 13 2026 09:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4039
751.1 IPS |
|
|
Image Classification (HP)
|
100% |
4264
793.0 IPS |
|
|
Image Classification (Q)
|
94% |
3919
732.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7144
115.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7413
120.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6790
110.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
26384
30.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
35874
41.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
30875
36.2 IPS |
|
|
Object Detection (SP)
|
100% |
3663
290.6 IPS |
|
|
Object Detection (HP)
|
100% |
4065
322.4 IPS |
|
|
Object Detection (Q)
|
91% |
3597
287.5 IPS |
|
|
Face Detection (SP)
|
100% |
13461
160.0 IPS |
|
|
Face Detection (HP)
|
100% |
15150
180.0 IPS |
|
|
Face Detection (Q)
|
100% |
13895
165.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17310
133.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18909
145.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
17389
136.0 IPS |
|
|
Style Transfer (SP)
|
100% |
49381
63.5 IPS |
|
|
Style Transfer (HP)
|
100% |
62383
80.2 IPS |
|
|
Style Transfer (Q)
|
96% |
62376
80.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10273
379.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10877
401.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8920
329.4 IPS |
|
|
Text Classification (SP)
|
100% |
1921
2.56 KIPS |
|
|
Text Classification (HP)
|
99% |
3650
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3432
4.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1856
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1981
34.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1482
25.6 IPS |
