MacBook Pro (16-inch, 2021)
Geekbench AI Score
3671
Single Precision Score
5829
Half Precision Score
4720
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jobieh |
| Upload Date | May 31 2025 06:43 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
2005
372.9 IPS |
|
|
Image Classification (Q)
|
96% |
1518
283.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2610
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10989
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
22510
26.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17648
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2309
183.8 IPS |
|
|
Object Detection (Q)
|
94% |
1693
134.9 IPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
5132
61.0 IPS |
|
|
Face Detection (Q)
|
100% |
3031
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5790
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10282
79.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7150
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21976
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33069
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27217
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4340
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5575
205.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4056
149.8 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4034
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4013
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3088
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4783
82.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4834
83.5 IPS |
