MacBook Pro (14-inch, 2021)
Geekbench AI Score
9465
Single Precision Score
10433
Half Precision Score
9007
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | vqt907 |
| Upload Date | February 20 2026 01:21 PM |
| Views | 4 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4037
750.8 IPS |
|
|
Image Classification (HP)
|
100% |
4024
748.4 IPS |
|
|
Image Classification (Q)
|
94% |
3845
718.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7324
118.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7449
120.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7104
115.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
32890
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35894
41.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
34645
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3950
313.3 IPS |
|
|
Object Detection (HP)
|
100% |
4081
323.7 IPS |
|
|
Object Detection (Q)
|
91% |
3881
310.2 IPS |
|
|
Face Detection (SP)
|
100% |
14460
171.8 IPS |
|
|
Face Detection (HP)
|
100% |
15340
182.3 IPS |
|
|
Face Detection (Q)
|
100% |
13788
163.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19889
153.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18832
145.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
17693
138.3 IPS |
|
|
Style Transfer (SP)
|
100% |
53811
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
64600
83.0 IPS |
|
|
Style Transfer (Q)
|
96% |
63217
81.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10726
396.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11208
413.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9955
367.6 IPS |
|
|
Text Classification (SP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4138
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4195
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3829
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4023
69.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1486
25.7 IPS |
