MacBook Pro (14-inch, 2021)
Geekbench AI Score
8668
Single Precision Score
9624
Half Precision Score
8974
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | nike_sg |
| Upload Date | November 28 2025 01:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4047
752.6 IPS |
|
|
Image Classification (HP)
|
100% |
4119
766.1 IPS |
|
|
Image Classification (Q)
|
96% |
3848
718.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7284
118.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7479
121.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7090
114.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
32866
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
36018
42.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34677
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3929
311.7 IPS |
|
|
Object Detection (HP)
|
100% |
4112
326.2 IPS |
|
|
Object Detection (Q)
|
92% |
3794
302.9 IPS |
|
|
Face Detection (SP)
|
100% |
13902
165.2 IPS |
|
|
Face Detection (HP)
|
100% |
14608
173.6 IPS |
|
|
Face Detection (Q)
|
100% |
12780
151.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20188
155.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19006
146.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
17192
134.3 IPS |
|
|
Style Transfer (SP)
|
100% |
53960
69.4 IPS |
|
|
Style Transfer (HP)
|
100% |
64788
83.3 IPS |
|
|
Style Transfer (Q)
|
96% |
63456
81.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10877
401.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11709
432.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10106
373.2 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4055
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4019
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1750
30.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1668
28.8 IPS |
