MacBook Pro (16-inch, 2021)
Geekbench AI Score
3672
Single Precision Score
5870
Half Precision Score
4725
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | mr_javer |
| Upload Date | August 29 2025 06:47 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
2037
378.9 IPS |
|
|
Image Classification (Q)
|
96% |
1512
282.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2277
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2605
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11121
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22354
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17480
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2303
183.3 IPS |
|
|
Object Detection (Q)
|
94% |
1729
137.8 IPS |
|
|
Face Detection (SP)
|
100% |
3143
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
5349
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
3080
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5790
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10354
80.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7078
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22056
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32162
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27053
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4355
160.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5879
217.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4078
150.6 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4067
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4041
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3108
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4777
82.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4796
82.9 IPS |
