MacBook Pro (14-inch, 2021)
Geekbench AI Score
3619
Single Precision Score
6014
Half Precision Score
4813
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | computerguru03 |
| Upload Date | March 14 2026 02:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1339
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
2050
381.2 IPS |
|
|
Image Classification (Q)
|
96% |
1509
281.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2617
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10608
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
22871
26.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17728
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1491
118.3 IPS |
|
|
Object Detection (HP)
|
97% |
2348
186.9 IPS |
|
|
Object Detection (Q)
|
94% |
1718
136.9 IPS |
|
|
Face Detection (SP)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5477
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3182
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5685
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10518
81.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7285
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22063
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35138
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28042
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4046
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5582
206.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4035
149.0 IPS |
|
|
Text Classification (SP)
|
100% |
2351
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4187
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4113
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3027
52.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5139
88.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5143
88.9 IPS |
