MacBook Pro (14-inch, 2021)
Geekbench AI Score
9490
Single Precision Score
10565
Half Precision Score
9288
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | computerguru03 |
| Upload Date | March 14 2026 02:25 PM |
| Views | 9 |
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 | 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% |
4093
761.2 IPS |
|
|
Image Classification (HP)
|
100% |
4209
782.7 IPS |
|
|
Image Classification (Q)
|
94% |
3851
719.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7346
119.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7505
121.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7157
116.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32763
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
36066
42.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34752
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3975
315.3 IPS |
|
|
Object Detection (HP)
|
100% |
4093
324.6 IPS |
|
|
Object Detection (Q)
|
91% |
3890
310.9 IPS |
|
|
Face Detection (SP)
|
100% |
14589
173.3 IPS |
|
|
Face Detection (HP)
|
100% |
15401
183.0 IPS |
|
|
Face Detection (Q)
|
100% |
13934
165.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20007
154.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18947
146.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
17756
138.8 IPS |
|
|
Style Transfer (SP)
|
100% |
54101
69.5 IPS |
|
|
Style Transfer (HP)
|
100% |
64661
83.1 IPS |
|
|
Style Transfer (Q)
|
96% |
63143
81.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10670
394.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11479
423.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10041
370.8 IPS |
|
|
Text Classification (SP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4243
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4157
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3825
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4046
69.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1967
34.0 IPS |
