MacBook Pro (16-inch, 2021)
Geekbench AI Score
3748
Single Precision Score
15783
Half Precision Score
15617
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | January 06 2025 08:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1328
247.0 IPS |
|
|
Image Classification (HP)
|
100% |
6544
1.22 KIPS |
|
|
Image Classification (Q)
|
96% |
6127
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9492
153.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10065
163.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11218
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69207
80.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
65291
76.5 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
99% |
7627
606.7 IPS |
|
|
Object Detection (Q)
|
91% |
7036
562.2 IPS |
|
|
Face Detection (SP)
|
100% |
3304
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
14806
175.9 IPS |
|
|
Face Detection (Q)
|
100% |
13851
164.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5978
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
49743
383.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
52387
409.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22432
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
118983
153.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115212
148.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4333
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25747
950.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27778
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3924
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3902
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3351
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3306
57.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3362
58.1 IPS |
