MacBook Pro (14-inch, 2021)
Geekbench AI Score
3762
Single Precision Score
5721
Half Precision Score
4858
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | netdevil |
| Upload Date | November 09 2024 03:59 PM |
| 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% |
1345
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
2045
380.3 IPS |
|
|
Image Classification (Q)
|
99% |
2034
379.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1669
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2339
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11076
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21743
25.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16138
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
97% |
2361
188.0 IPS |
|
|
Object Detection (Q)
|
94% |
1745
139.1 IPS |
|
|
Face Detection (SP)
|
100% |
3294
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5242
62.3 IPS |
|
|
Face Detection (Q)
|
100% |
3035
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5890
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10942
84.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
10919
84.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22411
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35010
45.0 IPS |
|
|
Style Transfer (Q)
|
100% |
33130
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4348
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6129
226.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3964
146.9 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3962
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3954
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3347
57.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3141
54.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3181
55.0 IPS |
