MacBook Pro (14-inch, 2021)
Geekbench AI Score
3676
Single Precision Score
5936
Half Precision Score
4756
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | CatCat |
| Upload Date | September 06 2025 07:30 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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% |
1359
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
2067
384.4 IPS |
|
|
Image Classification (Q)
|
96% |
1509
281.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2220
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2550
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11123
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
23250
27.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17717
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
97% |
2350
187.1 IPS |
|
|
Object Detection (Q)
|
94% |
1712
136.4 IPS |
|
|
Face Detection (SP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
5466
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3174
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5777
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10392
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7244
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22379
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35238
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28084
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4242
156.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5445
201.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3977
146.9 IPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3898
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3876
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3082
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5108
88.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5100
88.1 IPS |
