MacBook Pro (16-inch, 2021)
Geekbench AI Score
7925
Single Precision Score
8795
Half Precision Score
6786
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | LulzSec |
| Upload Date | August 15 2024 11:16 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
3915
728.1 IPS |
|
|
Image Classification (HP)
|
100% |
3985
741.0 IPS |
|
|
Image Classification (Q)
|
99% |
3469
647.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6316
102.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6455
104.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
6232
101.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32746
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34775
40.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
31017
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
3881
307.9 IPS |
|
|
Object Detection (HP)
|
100% |
4045
320.8 IPS |
|
|
Object Detection (Q)
|
91% |
3148
251.5 IPS |
|
|
Face Detection (SP)
|
100% |
13739
163.3 IPS |
|
|
Face Detection (HP)
|
100% |
14390
171.0 IPS |
|
|
Face Detection (Q)
|
100% |
9981
118.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19695
151.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20546
158.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
3724
28.8 IPS |
|
|
Style Transfer (SP)
|
100% |
53562
68.9 IPS |
|
|
Style Transfer (HP)
|
100% |
63618
81.8 IPS |
|
|
Style Transfer (Q)
|
100% |
63040
81.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10595
391.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11148
411.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7997
296.3 IPS |
|
|
Text Classification (SP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3843
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3773
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1389
24.0 IPS |
