MacBook Pro (14-inch, 2021)
Geekbench AI Score
3608
Single Precision Score
6002
Half Precision Score
4819
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | February 20 2026 03:37 AM |
| Views | 2 |
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, 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% |
1315
244.6 IPS |
|
|
Image Classification (HP)
|
100% |
2066
384.3 IPS |
|
|
Image Classification (Q)
|
96% |
1507
281.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2220
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2569
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10474
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23133
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17772
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
97% |
2348
187.0 IPS |
|
|
Object Detection (Q)
|
94% |
1719
137.0 IPS |
|
|
Face Detection (SP)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5489
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3184
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5674
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10557
81.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7311
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22101
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35150
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28053
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4105
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5445
201.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4046
149.4 IPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4248
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4194
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3004
51.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5172
89.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5154
89.1 IPS |
