MacBook Pro (14-inch, 2021)
Geekbench AI Score
3603
Single Precision Score
6012
Half Precision Score
4808
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | EAG |
| Upload Date | November 12 2025 06:26 PM |
| Views | 5 |
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, 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% |
1332
247.7 IPS |
|
|
Image Classification (HP)
|
100% |
2100
390.6 IPS |
|
|
Image Classification (Q)
|
96% |
1506
281.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2245
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2603
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10470
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23130
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17698
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.4 IPS |
|
|
Object Detection (HP)
|
97% |
2358
187.8 IPS |
|
|
Object Detection (Q)
|
94% |
1734
138.2 IPS |
|
|
Face Detection (SP)
|
100% |
3274
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5451
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3162
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5623
43.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10530
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7309
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22089
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35119
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27984
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4082
150.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5466
201.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4053
149.7 IPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4219
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4089
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3003
51.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5161
89.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5128
88.6 IPS |
