MacBook Pro (14-inch, 2021)
Geekbench AI Score
7896
Single Precision Score
8528
Half Precision Score
7875
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 14 2025 12:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.21 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3790
704.8 IPS |
|
|
Image Classification (HP)
|
100% |
3918
728.6 IPS |
|
|
Image Classification (Q)
|
96% |
3449
644.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6571
106.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6623
107.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6335
102.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
28444
33.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
30632
35.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29767
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
3521
279.3 IPS |
|
|
Object Detection (HP)
|
100% |
3657
290.1 IPS |
|
|
Object Detection (Q)
|
92% |
3356
267.9 IPS |
|
|
Face Detection (SP)
|
100% |
12438
147.8 IPS |
|
|
Face Detection (HP)
|
100% |
12992
154.4 IPS |
|
|
Face Detection (Q)
|
100% |
11121
132.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16723
128.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15901
122.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
14612
114.1 IPS |
|
|
Style Transfer (SP)
|
100% |
47423
61.0 IPS |
|
|
Style Transfer (HP)
|
100% |
56955
73.2 IPS |
|
|
Style Transfer (Q)
|
96% |
55454
71.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9739
359.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10574
390.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8871
327.6 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
4095
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
3989
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1722
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1375
23.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1319
22.8 IPS |
