MacBook Pro (16-inch, 2021)
Geekbench AI Score
3628
Single Precision Score
5809
Half Precision Score
4694
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 02 2025 06:15 AM |
| Views | 6 |
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 (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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1324
246.2 IPS |
|
|
Image Classification (HP)
|
100% |
1996
371.1 IPS |
|
|
Image Classification (Q)
|
96% |
1476
275.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2282
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2550
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11022
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21809
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17644
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1536
121.8 IPS |
|
|
Object Detection (HP)
|
97% |
2240
178.3 IPS |
|
|
Object Detection (Q)
|
94% |
1687
134.5 IPS |
|
|
Face Detection (SP)
|
100% |
3123
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
5099
60.6 IPS |
|
|
Face Detection (Q)
|
100% |
3084
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5720
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9949
76.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6980
54.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21275
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33775
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26668
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4419
163.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5959
220.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4066
150.1 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4051
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4046
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3025
52.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4754
82.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4910
84.9 IPS |
