MacBook Pro (16-inch, 2021)
Geekbench AI Score
7433
Single Precision Score
8306
Half Precision Score
6535
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | November 21 2024 09:46 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.13 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4241
788.7 IPS |
|
|
Image Classification (HP)
|
100% |
4388
816.0 IPS |
|
|
Image Classification (Q)
|
99% |
4381
817.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6375
103.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6494
105.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
6474
104.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
32601
38.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
34911
40.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
31643
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
3115
247.1 IPS |
|
|
Object Detection (HP)
|
100% |
3167
251.2 IPS |
|
|
Object Detection (Q)
|
91% |
3497
279.5 IPS |
|
|
Face Detection (SP)
|
100% |
12862
152.8 IPS |
|
|
Face Detection (HP)
|
100% |
14848
176.4 IPS |
|
|
Face Detection (Q)
|
100% |
10314
122.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20049
154.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20047
154.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
3604
27.9 IPS |
|
|
Style Transfer (SP)
|
100% |
52743
67.8 IPS |
|
|
Style Transfer (HP)
|
100% |
62977
81.0 IPS |
|
|
Style Transfer (Q)
|
100% |
62440
80.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9930
366.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11253
415.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8078
299.3 IPS |
|
|
Text Classification (SP)
|
100% |
2248
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3966
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3836
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
618
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (Q)
|
98% |
630
10.9 IPS |
