MacBook Pro (16-inch, 2021)
Geekbench AI Score
3752
Single Precision Score
16583
Half Precision Score
16347
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | r00tb33r |
| Upload Date | November 11 2024 01:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1330
247.3 IPS |
|
|
Image Classification (HP)
|
100% |
7020
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6687
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1640
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9665
156.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10277
166.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11192
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
71809
83.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
68047
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.8 IPS |
|
|
Object Detection (HP)
|
99% |
7941
631.7 IPS |
|
|
Object Detection (Q)
|
91% |
7439
594.4 IPS |
|
|
Face Detection (SP)
|
100% |
3203
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
15512
184.3 IPS |
|
|
Face Detection (Q)
|
100% |
13488
160.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5946
45.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
52162
401.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
54320
424.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22477
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120327
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
117397
151.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4389
162.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26320
971.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28455
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4060
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4002
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3333
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3907
67.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4001
69.1 IPS |
