MacBook Pro (16-inch, 2021)
Geekbench AI Score
3582
Single Precision Score
15965
Half Precision Score
15903
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | superlid |
| Upload Date | March 15 2025 08:25 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.17 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1255
233.4 IPS |
|
|
Image Classification (HP)
|
100% |
6781
1.26 KIPS |
|
|
Image Classification (Q)
|
96% |
6377
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1555
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9405
152.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9893
160.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10905
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
70902
82.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
67291
78.9 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.3 IPS |
|
|
Object Detection (HP)
|
99% |
7772
618.2 IPS |
|
|
Object Detection (Q)
|
91% |
7261
580.2 IPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
15151
180.0 IPS |
|
|
Face Detection (Q)
|
100% |
14589
173.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5686
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
50610
389.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
52286
408.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21844
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
119425
153.5 IPS |
|
|
Style Transfer (Q)
|
96% |
115419
148.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4228
156.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25687
948.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27564
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2183
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3831
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3836
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3087
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3607
62.3 IPS |
