MacBook Pro (16-inch, 2021)
Geekbench AI Score
3714
Single Precision Score
16079
Half Precision Score
16237
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | etheus |
| Upload Date | February 17 2025 10:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| 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% |
1320
245.5 IPS |
|
|
Image Classification (HP)
|
100% |
6809
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6585
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9758
158.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10304
167.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11122
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70330
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
67391
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.3 IPS |
|
|
Object Detection (HP)
|
99% |
7891
627.7 IPS |
|
|
Object Detection (Q)
|
91% |
7549
603.2 IPS |
|
|
Face Detection (SP)
|
100% |
3249
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
13560
161.1 IPS |
|
|
Face Detection (Q)
|
100% |
13806
164.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5795
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
50929
392.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
53589
418.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21994
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
119968
154.2 IPS |
|
|
Style Transfer (Q)
|
96% |
116850
150.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4320
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25910
956.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28162
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3938
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3924
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3325
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3706
63.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3863
66.8 IPS |
