MacBook Pro (14-inch, 2021)
Geekbench AI Score
3655
Single Precision Score
16436
Half Precision Score
16357
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | matt4824 |
| Upload Date | August 18 2025 10:19 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 3.22 GHz |
| Cluster 1 | 6 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% |
6922
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6632
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1502
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9679
156.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10437
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11098
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70143
81.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
66040
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
99% |
7999
636.3 IPS |
|
|
Object Detection (Q)
|
91% |
7502
599.5 IPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
16091
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
14905
177.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5780
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51406
396.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
53812
420.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21880
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
119631
153.8 IPS |
|
|
Style Transfer (Q)
|
96% |
115767
149.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4331
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25844
954.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27914
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4024
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4006
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3090
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3721
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3852
66.6 IPS |
