MacBook Pro (16-inch, 2021)
Geekbench AI Score
3726
Single Precision Score
5742
Half Precision Score
4687
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jsilver |
| Upload Date | November 09 2024 05:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
1332
247.8 IPS |
|
|
Image Classification (HP)
|
100% |
2010
373.8 IPS |
|
|
Image Classification (Q)
|
96% |
1483
277.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2669
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11320
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22571
26.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16955
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1525
121.0 IPS |
|
|
Object Detection (HP)
|
97% |
2349
187.0 IPS |
|
|
Object Detection (Q)
|
94% |
1717
136.9 IPS |
|
|
Face Detection (SP)
|
100% |
3288
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5221
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
3150
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6005
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10934
84.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7434
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22311
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35184
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27357
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4330
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6192
228.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4006
147.9 IPS |
|
|
Text Classification (SP)
|
100% |
2189
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3720
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3682
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3307
57.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3340
57.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4705
81.3 IPS |
