MacBook Pro (14-inch, 2021)
Geekbench AI Score
3770
Single Precision Score
5782
Half Precision Score
4704
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | lollo20 |
| Upload Date | October 31 2024 03:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
2043
379.9 IPS |
|
|
Image Classification (Q)
|
96% |
1482
276.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2678
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11300
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22219
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16919
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (HP)
|
97% |
2367
188.4 IPS |
|
|
Object Detection (Q)
|
94% |
1749
139.4 IPS |
|
|
Face Detection (SP)
|
100% |
3306
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
5326
63.3 IPS |
|
|
Face Detection (Q)
|
100% |
3069
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5974
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11013
85.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7472
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22371
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35298
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26227
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4398
162.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6158
227.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4040
149.2 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4037
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3915
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3330
57.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3233
55.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4756
82.2 IPS |
