MacBook Pro (16-inch, 2021)
Geekbench AI Score
8625
Single Precision Score
9519
Half Precision Score
7689
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | March 19 2025 12:47 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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% |
4019
747.3 IPS |
|
|
Image Classification (HP)
|
100% |
4174
776.3 IPS |
|
|
Image Classification (Q)
|
99% |
4197
782.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7305
118.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7571
122.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
7527
122.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32685
38.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34913
40.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
32478
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
3965
314.5 IPS |
|
|
Object Detection (HP)
|
100% |
4117
326.6 IPS |
|
|
Object Detection (Q)
|
92% |
3791
302.6 IPS |
|
|
Face Detection (SP)
|
100% |
13743
163.3 IPS |
|
|
Face Detection (HP)
|
100% |
14665
174.3 IPS |
|
|
Face Detection (Q)
|
100% |
12636
150.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19927
153.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18796
144.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
3834
29.6 IPS |
|
|
Style Transfer (SP)
|
100% |
53660
69.0 IPS |
|
|
Style Transfer (HP)
|
100% |
63494
81.6 IPS |
|
|
Style Transfer (Q)
|
100% |
63516
81.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10643
393.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11295
417.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9527
353.0 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3936
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3940
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1680
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1730
29.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1608
27.8 IPS |
