MacBook Pro (16-inch, 2021)
Geekbench AI Score
3609
Single Precision Score
16483
Half Precision Score
16370
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | harman767 |
| Upload Date | March 26 2025 07:16 PM |
| Views | 1 |
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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1317
244.9 IPS |
|
|
Image Classification (HP)
|
100% |
6965
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6612
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9764
158.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10313
167.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10836
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
70712
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65852
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
99% |
8063
641.4 IPS |
|
|
Object Detection (Q)
|
91% |
7486
598.2 IPS |
|
|
Face Detection (SP)
|
100% |
3131
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
15922
189.2 IPS |
|
|
Face Detection (Q)
|
100% |
14995
178.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5729
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51905
399.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
53491
418.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21022
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121359
156.0 IPS |
|
|
Style Transfer (Q)
|
96% |
117758
152.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4186
154.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25929
957.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28409
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3940
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3951
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3097
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3879
67.0 IPS |
