MacBook Pro (14-inch, 2021)
Geekbench AI Score
8605
Single Precision Score
9589
Half Precision Score
8755
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | gutermanjunior |
| Upload Date | June 08 2025 09:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4031
749.7 IPS |
|
|
Image Classification (HP)
|
100% |
4163
774.2 IPS |
|
|
Image Classification (Q)
|
96% |
3815
712.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7268
117.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7446
120.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7076
114.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
32857
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
36158
42.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
34753
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3938
312.4 IPS |
|
|
Object Detection (HP)
|
100% |
4053
321.5 IPS |
|
|
Object Detection (Q)
|
92% |
3842
306.7 IPS |
|
|
Face Detection (SP)
|
100% |
13792
163.9 IPS |
|
|
Face Detection (HP)
|
100% |
14547
172.8 IPS |
|
|
Face Detection (Q)
|
100% |
12624
150.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19941
153.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18984
146.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
17580
137.3 IPS |
|
|
Style Transfer (SP)
|
100% |
53881
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
64721
83.2 IPS |
|
|
Style Transfer (Q)
|
96% |
63535
82.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10775
397.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11602
428.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10152
374.9 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3975
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3952
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1610
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1756
30.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1298
22.4 IPS |
