MacBook Pro (14-inch, 2021)
Geekbench AI Score
2034
Single Precision Score
12726
Half Precision Score
12982
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | stingus |
| Upload Date | August 16 2024 09:33 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
942
175.2 IPS |
|
|
Image Classification (HP)
|
100% |
7067
1.31 KIPS |
|
|
Image Classification (Q)
|
99% |
7289
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3844
62.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3844
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10197
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
68049
79.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
64790
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
1096
86.9 IPS |
|
|
Object Detection (HP)
|
99% |
7393
588.1 IPS |
|
|
Object Detection (Q)
|
93% |
7135
569.3 IPS |
|
|
Face Detection (SP)
|
100% |
1892
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
11135
132.3 IPS |
|
|
Face Detection (Q)
|
100% |
10612
126.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3504
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
45564
351.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
48853
377.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12166
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
116616
149.9 IPS |
|
|
Style Transfer (Q)
|
100% |
122281
157.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2365
87.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18697
690.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
22949
850.2 IPS |
|
|
Text Classification (SP)
|
100% |
591
788.3 IPS |
|
|
Text Classification (HP)
|
100% |
3457
4.61 KIPS |
|
|
Text Classification (Q)
|
93% |
3399
4.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1541
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2132
36.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2123
36.7 IPS |
