MacBook Pro (16-inch, 2021)
Geekbench AI Score
9030
Single Precision Score
10137
Half Precision Score
9505
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | ddtdanilo |
| Upload Date | July 12 2025 04:46 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4180
777.4 IPS |
|
|
Image Classification (HP)
|
100% |
4176
776.6 IPS |
|
|
Image Classification (Q)
|
96% |
3967
740.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7301
118.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7559
122.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7231
117.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
32810
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
35959
42.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34997
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
3955
313.7 IPS |
|
|
Object Detection (HP)
|
100% |
4234
335.8 IPS |
|
|
Object Detection (Q)
|
92% |
3935
314.1 IPS |
|
|
Face Detection (SP)
|
100% |
13906
165.2 IPS |
|
|
Face Detection (HP)
|
100% |
14737
175.1 IPS |
|
|
Face Detection (Q)
|
100% |
12771
151.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20069
154.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19307
148.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
17516
136.8 IPS |
|
|
Style Transfer (SP)
|
100% |
54015
69.4 IPS |
|
|
Style Transfer (HP)
|
100% |
64869
83.4 IPS |
|
|
Style Transfer (Q)
|
96% |
64012
82.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10830
399.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12069
445.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10328
381.3 IPS |
|
|
Text Classification (SP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4023
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4012
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2404
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2661
45.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2568
44.4 IPS |
