MacBook Pro (14-inch, 2021)
Geekbench AI Score
2028
Single Precision Score
12757
Half Precision Score
13162
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | yugene |
| Upload Date | August 17 2024 02:53 AM |
| Views | 3 |
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% |
941
175.0 IPS |
|
|
Image Classification (HP)
|
100% |
7161
1.33 KIPS |
|
|
Image Classification (Q)
|
99% |
7549
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3846
62.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3840
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10146
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
69160
80.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
64332
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1050
83.3 IPS |
|
|
Object Detection (HP)
|
99% |
7394
588.2 IPS |
|
|
Object Detection (Q)
|
93% |
7132
569.0 IPS |
|
|
Face Detection (SP)
|
100% |
1899
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
11138
132.3 IPS |
|
|
Face Detection (Q)
|
100% |
11688
138.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3591
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
45817
353.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
49412
382.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12131
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
116920
150.3 IPS |
|
|
Style Transfer (Q)
|
100% |
122407
157.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2274
84.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18730
691.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
22888
848.0 IPS |
|
|
Text Classification (SP)
|
100% |
607
810.7 IPS |
|
|
Text Classification (HP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (Q)
|
93% |
3420
4.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2124
36.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2121
36.7 IPS |
