MacBook Pro (14-inch, 2021)
Geekbench AI Score
3606
Single Precision Score
5974
Half Precision Score
4804
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Skyforger |
| Upload Date | March 07 2026 08:36 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1315
244.6 IPS |
|
|
Image Classification (HP)
|
100% |
2047
380.8 IPS |
|
|
Image Classification (Q)
|
96% |
1508
281.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1501
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2270
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2599
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10423
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23162
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17861
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
1489
118.1 IPS |
|
|
Object Detection (HP)
|
97% |
2344
186.6 IPS |
|
|
Object Detection (Q)
|
94% |
1724
137.4 IPS |
|
|
Face Detection (SP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5474
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3178
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5673
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10432
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7312
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22097
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35066
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28037
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4130
152.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5489
202.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4046
149.4 IPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4054
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4043
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3031
52.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5157
89.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5097
88.1 IPS |
