MacBook Pro (14-inch, 2021)
Geekbench AI Score
3670
Single Precision Score
5801
Half Precision Score
4685
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | nike_sg |
| Upload Date | November 28 2025 01:33 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
1345
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
2015
374.8 IPS |
|
|
Image Classification (Q)
|
96% |
1504
280.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2238
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2602
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11124
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21781
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17037
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2290
182.3 IPS |
|
|
Object Detection (Q)
|
94% |
1720
137.1 IPS |
|
|
Face Detection (SP)
|
100% |
3171
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
5216
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
3013
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5752
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10242
79.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7127
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21907
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31653
40.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27017
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4381
161.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5852
216.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4050
149.6 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4039
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3998
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3091
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4803
83.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4730
81.7 IPS |
