MacBook Pro (14-inch, 2021)
Geekbench AI Score
8518
Single Precision Score
9489
Half Precision Score
8788
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | jvinkovic |
| Upload Date | August 29 2025 10:57 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
4021
747.8 IPS |
|
|
Image Classification (HP)
|
100% |
4035
750.4 IPS |
|
|
Image Classification (Q)
|
96% |
3764
702.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7259
117.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7443
120.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7080
114.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
32832
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
36039
42.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34620
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3916
310.6 IPS |
|
|
Object Detection (HP)
|
100% |
4113
326.2 IPS |
|
|
Object Detection (Q)
|
92% |
3779
301.7 IPS |
|
|
Face Detection (SP)
|
100% |
13743
163.3 IPS |
|
|
Face Detection (HP)
|
100% |
14569
173.1 IPS |
|
|
Face Detection (Q)
|
100% |
12588
149.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19903
153.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18816
145.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
17459
136.4 IPS |
|
|
Style Transfer (SP)
|
100% |
54017
69.4 IPS |
|
|
Style Transfer (HP)
|
100% |
64588
83.0 IPS |
|
|
Style Transfer (Q)
|
96% |
63390
81.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10661
393.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11583
427.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9970
368.2 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3988
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3974
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1488
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1626
28.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1428
24.7 IPS |
