MacBook Pro (16-inch, 2021)
Geekbench AI Score
3733
Single Precision Score
5721
Half Precision Score
4942
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | LulzSec |
| Upload Date | August 15 2024 11:18 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
1339
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
2035
378.5 IPS |
|
|
Image Classification (Q)
|
99% |
2025
377.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2340
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11106
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21795
25.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16692
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
|
Object Detection (HP)
|
97% |
2355
187.5 IPS |
|
|
Object Detection (Q)
|
94% |
1734
138.2 IPS |
|
|
Face Detection (SP)
|
100% |
3291
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5002
59.4 IPS |
|
|
Face Detection (Q)
|
100% |
3177
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5852
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10764
83.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
10953
84.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22407
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35305
45.4 IPS |
|
|
Style Transfer (Q)
|
100% |
35320
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4343
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6173
227.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3966
146.9 IPS |
|
|
Text Classification (SP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3751
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3725
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3327
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3494
60.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3491
60.3 IPS |
