MacBook Pro (14-inch, 2021)
Geekbench AI Score
3782
Single Precision Score
5818
Half Precision Score
4751
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Merlion |
| Upload Date | December 24 2024 02:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1356
252.2 IPS |
|
|
Image Classification (HP)
|
100% |
2058
382.7 IPS |
|
|
Image Classification (Q)
|
96% |
1477
275.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2654
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11259
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
22300
26.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17466
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2377
189.2 IPS |
|
|
Object Detection (Q)
|
94% |
1739
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
3271
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5417
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3048
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6001
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10903
84.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7411
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22403
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35346
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27323
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4408
162.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6391
236.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4064
150.1 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4152
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
3933
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3424
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3184
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4994
86.3 IPS |
