MacBook Pro (16-inch, 2021)
Geekbench AI Score
3314
Single Precision Score
5463
Half Precision Score
4342
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | returnf4lse |
| Upload Date | September 24 2025 12:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 2.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1176
218.6 IPS |
|
|
Image Classification (HP)
|
100% |
1793
333.5 IPS |
|
|
Image Classification (Q)
|
96% |
1291
241.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2057
33.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2260
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9731
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
21636
25.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16674
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.8 IPS |
|
|
Object Detection (HP)
|
97% |
2095
166.8 IPS |
|
|
Object Detection (Q)
|
94% |
1536
122.4 IPS |
|
|
Face Detection (SP)
|
100% |
2912
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
4893
58.1 IPS |
|
|
Face Detection (Q)
|
100% |
2751
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5098
39.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9379
72.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6469
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19982
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31971
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
25331
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3911
144.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5253
194.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3773
139.3 IPS |
|
|
Text Classification (SP)
|
100% |
2210
2.95 KIPS |
|
|
Text Classification (HP)
|
99% |
3760
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3752
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2877
49.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4895
84.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5000
86.4 IPS |
