MacBook Pro (16-inch, 2021)
Geekbench AI Score
8473
Single Precision Score
9151
Half Precision Score
7912
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
4006
745.1 IPS |
|
|
Image Classification (HP)
|
100% |
4032
749.9 IPS |
|
|
Image Classification (Q)
|
97% |
3463
646.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6338
102.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6473
104.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6401
103.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
32909
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34915
40.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
32405
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
3930
311.7 IPS |
|
|
Object Detection (HP)
|
100% |
4093
324.6 IPS |
|
|
Object Detection (Q)
|
91% |
3431
274.2 IPS |
|
|
Face Detection (SP)
|
100% |
13889
165.0 IPS |
|
|
Face Detection (HP)
|
100% |
14583
173.3 IPS |
|
|
Face Detection (Q)
|
100% |
10506
124.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19866
153.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20549
158.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
17025
133.1 IPS |
|
|
Style Transfer (SP)
|
100% |
53754
69.1 IPS |
|
|
Style Transfer (HP)
|
100% |
63787
82.0 IPS |
|
|
Style Transfer (Q)
|
96% |
59781
77.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10815
399.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11466
423.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8852
326.9 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3888
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3899
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1584
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1057
18.3 IPS |
