MacBook Pro (14-inch, 2021)
Geekbench AI Score
7154
Single Precision Score
7168
Half Precision Score
2341
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 07 2026 04:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3876
720.8 IPS |
|
|
Image Classification (HP)
|
100% |
4002
744.2 IPS |
|
|
Image Classification (Q)
|
97% |
3023
564.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5891
95.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6143
99.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5731
92.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
31841
37.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34200
39.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
30771
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
3781
299.9 IPS |
|
|
Object Detection (HP)
|
100% |
3919
310.8 IPS |
|
|
Object Detection (Q)
|
92% |
3034
242.1 IPS |
|
|
Face Detection (SP)
|
100% |
12372
147.0 IPS |
|
|
Face Detection (HP)
|
100% |
13313
158.2 IPS |
|
|
Face Detection (Q)
|
100% |
9053
107.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19472
150.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19820
152.7 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
121.0 IPS |
|
|
Style Transfer (SP)
|
100% |
53086
68.2 IPS |
|
|
Style Transfer (HP)
|
100% |
61376
78.9 IPS |
|
|
Style Transfer (Q)
|
96% |
58821
75.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10989
405.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11701
432.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8698
321.2 IPS |
|
|
Text Classification (SP)
|
100% |
1024
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
583
777.5 IPS |
|
|
Text Classification (Q)
|
93% |
651
874.0 IPS |
|
|
Machine Translation (SP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1016
17.6 IPS |
