MacBook Pro (16-inch, 2021)
Geekbench AI Score
3654
Single Precision Score
5769
Half Precision Score
4705
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | r00tb33r |
| Upload Date | November 11 2024 01:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.20 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% |
2008
373.4 IPS |
|
|
Image Classification (Q)
|
96% |
1477
275.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2384
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2625
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10836
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
21384
25.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17154
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1535
121.8 IPS |
|
|
Object Detection (HP)
|
97% |
2320
184.7 IPS |
|
|
Object Detection (Q)
|
94% |
1716
136.7 IPS |
|
|
Face Detection (SP)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
5309
63.1 IPS |
|
|
Face Detection (Q)
|
100% |
3030
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5745
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10681
82.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7352
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21997
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35537
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27532
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4385
161.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6322
233.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4084
150.8 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4059
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
3961
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3127
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3330
57.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4702
81.3 IPS |
