MacBook Pro (14-inch, 2021)
Geekbench AI Score
3619
Single Precision Score
6008
Half Precision Score
4814
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | wellsriley |
| Upload Date | February 06 2026 05:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
1331
247.6 IPS |
|
|
Image Classification (HP)
|
100% |
2072
385.3 IPS |
|
|
Image Classification (Q)
|
96% |
1507
281.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2556
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10524
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
23141
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17773
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
97% |
2359
187.8 IPS |
|
|
Object Detection (Q)
|
94% |
1736
138.4 IPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5461
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3178
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5695
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10411
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7311
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22031
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35167
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28021
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4120
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5735
211.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4010
148.1 IPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4171
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4161
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3004
51.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5181
89.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5188
89.6 IPS |
