MacBook Pro (16-inch, 2021)
Geekbench AI Score
3563
Single Precision Score
5966
Half Precision Score
4770
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 09 2025 07:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1296
241.1 IPS |
|
|
Image Classification (HP)
|
100% |
2027
377.0 IPS |
|
|
Image Classification (Q)
|
96% |
1485
277.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1501
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2237
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2567
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10381
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
22861
26.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17664
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1471
116.6 IPS |
|
|
Object Detection (HP)
|
97% |
2311
184.0 IPS |
|
|
Object Detection (Q)
|
94% |
1704
135.8 IPS |
|
|
Face Detection (SP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
5431
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3162
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5657
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10399
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7242
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22050
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35202
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27994
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4062
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5683
209.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4022
148.5 IPS |
|
|
Text Classification (SP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4139
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4096
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2964
51.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5102
88.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5041
87.1 IPS |
