MacBook Pro (14-inch, 2021)
Geekbench AI Score
3021
Single Precision Score
5150
Half Precision Score
4196
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | angelyouyou |
| Upload Date | April 12 2026 12:54 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| 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 | 3.04 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1029
191.4 IPS |
|
|
Image Classification (HP)
|
100% |
1716
319.0 IPS |
|
|
Image Classification (Q)
|
96% |
1269
236.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2224
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7597
8.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
16515
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13185
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1174
93.2 IPS |
|
|
Object Detection (HP)
|
97% |
1884
150.0 IPS |
|
|
Object Detection (Q)
|
94% |
1413
112.6 IPS |
|
|
Face Detection (SP)
|
100% |
2457
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
4372
51.9 IPS |
|
|
Face Detection (Q)
|
100% |
2564
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5278
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9255
71.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6137
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16660
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31934
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
25135
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3063
113.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4048
149.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3134
115.7 IPS |
|
|
Text Classification (SP)
|
100% |
3768
5.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5924
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5932
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2380
41.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3949
68.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4382
75.7 IPS |
