MacBook Pro (14-inch, 2021)
Geekbench AI Score
3582
Single Precision Score
5880
Half Precision Score
4710
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 14 2025 12:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1337
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
2047
380.6 IPS |
|
|
Image Classification (Q)
|
96% |
1379
257.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2467
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10571
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
23245
27.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17930
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
97% |
2379
189.4 IPS |
|
|
Object Detection (Q)
|
94% |
1752
139.7 IPS |
|
|
Face Detection (SP)
|
100% |
3278
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5423
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3174
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5697
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10401
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7322
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21901
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35143
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27976
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4112
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5423
200.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3995
147.5 IPS |
|
|
Text Classification (SP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3823
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3905
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2860
49.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4991
86.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4966
85.8 IPS |
