MacBook Pro (14-inch, 2021)
Geekbench AI Score
3742
Single Precision Score
5794
Half Precision Score
4733
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | audax72 |
| Upload Date | November 10 2024 10:06 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 (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| 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% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
2048
380.8 IPS |
|
|
Image Classification (Q)
|
96% |
1485
277.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2372
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2685
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11061
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22239
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17319
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2371
188.7 IPS |
|
|
Object Detection (Q)
|
94% |
1741
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
3214
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
5395
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
3161
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5872
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10814
83.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7435
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22251
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33048
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26136
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4363
161.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6202
229.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4019
148.4 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3978
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3976
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3347
57.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3500
60.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4785
82.7 IPS |
