MacBook Pro (16-inch, 2021)
Geekbench AI Score
7574
Single Precision Score
8355
Half Precision Score
6530
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | aenewton |
| Upload Date | August 24 2024 11:43 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| 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% |
3940
732.8 IPS |
|
|
Image Classification (HP)
|
100% |
3983
740.8 IPS |
|
|
Image Classification (Q)
|
99% |
3454
644.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6302
102.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6436
104.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
6216
100.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
32869
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34848
40.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
30933
36.2 IPS |
|
|
Object Detection (SP)
|
100% |
3412
270.7 IPS |
|
|
Object Detection (HP)
|
100% |
3879
307.7 IPS |
|
|
Object Detection (Q)
|
91% |
3149
251.7 IPS |
|
|
Face Detection (SP)
|
100% |
13705
162.8 IPS |
|
|
Face Detection (HP)
|
100% |
14455
171.8 IPS |
|
|
Face Detection (Q)
|
100% |
10036
119.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19924
153.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20462
157.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
3725
28.8 IPS |
|
|
Style Transfer (SP)
|
100% |
53796
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
63562
81.7 IPS |
|
|
Style Transfer (Q)
|
100% |
63107
81.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10650
393.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11127
410.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8059
298.6 IPS |
|
|
Text Classification (SP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3752
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3744
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (Q)
|
98% |
947
16.4 IPS |
