MacBook Pro (16-inch, 2021)
Geekbench AI Score
1849
Single Precision Score
12736
Half Precision Score
13169
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | andersliland |
| Upload Date | August 28 2024 04:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
857
159.5 IPS |
|
|
Image Classification (HP)
|
100% |
6930
1.29 KIPS |
|
|
Image Classification (Q)
|
99% |
7611
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3843
62.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3834
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9595
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
69021
80.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
65672
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
929
73.7 IPS |
|
|
Object Detection (HP)
|
99% |
7367
586.1 IPS |
|
|
Object Detection (Q)
|
93% |
7024
560.5 IPS |
|
|
Face Detection (SP)
|
100% |
1558
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
11453
136.1 IPS |
|
|
Face Detection (Q)
|
100% |
11589
137.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3048
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
45879
353.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
49567
383.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11586
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
117363
150.9 IPS |
|
|
Style Transfer (Q)
|
100% |
123374
158.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2133
78.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18748
692.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23064
854.5 IPS |
|
|
Text Classification (SP)
|
100% |
640
854.3 IPS |
|
|
Text Classification (HP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (Q)
|
93% |
3400
4.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2119
36.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2098
36.2 IPS |
