MacBook Pro (14-inch, 2021)
Geekbench AI Score
7430
Single Precision Score
8198
Half Precision Score
7045
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | sophatvathana |
| Upload Date | April 09 2025 01:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
3850
716.0 IPS |
|
|
Image Classification (HP)
|
100% |
3965
737.4 IPS |
|
|
Image Classification (Q)
|
97% |
3288
613.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5920
96.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5967
96.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5882
95.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29873
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31332
36.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
29047
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
3585
284.4 IPS |
|
|
Object Detection (HP)
|
100% |
3952
313.5 IPS |
|
|
Object Detection (Q)
|
91% |
3306
264.2 IPS |
|
|
Face Detection (SP)
|
100% |
13276
157.7 IPS |
|
|
Face Detection (HP)
|
100% |
13710
162.9 IPS |
|
|
Face Detection (Q)
|
100% |
9715
115.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17797
137.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18439
142.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
15547
121.5 IPS |
|
|
Style Transfer (SP)
|
100% |
50284
64.6 IPS |
|
|
Style Transfer (HP)
|
100% |
59324
76.3 IPS |
|
|
Style Transfer (Q)
|
96% |
55131
71.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10610
391.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11065
408.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8630
318.7 IPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4068
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4055
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
694
11.9 IPS |
|
|
Machine Translation (Q)
|
98% |
557
9.62 IPS |
