MacBook Pro (14-inch, 2021)
Geekbench AI Score
3658
Single Precision Score
5827
Half Precision Score
4674
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Crimble |
| Upload Date | July 01 2025 10:00 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
2019
375.4 IPS |
|
|
Image Classification (Q)
|
96% |
1508
281.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2268
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2554
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11181
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22254
26.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17326
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
97% |
2291
182.4 IPS |
|
|
Object Detection (Q)
|
94% |
1716
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
3207
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
5263
62.5 IPS |
|
|
Face Detection (Q)
|
100% |
3081
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5697
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9799
75.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7084
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21897
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33599
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26074
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4335
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5822
215.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4051
149.6 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4016
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3976
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3093
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4777
82.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4743
82.0 IPS |
