MacBook Pro (14-inch, 2021)
Geekbench AI Score
6674
Single Precision Score
7049
Half Precision Score
6322
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | bassiek |
| Upload Date | September 03 2024 05:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 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% |
3695
687.1 IPS |
|
|
Image Classification (HP)
|
100% |
3770
701.0 IPS |
|
|
Image Classification (Q)
|
99% |
3250
606.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6032
97.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6126
99.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
5925
96.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32906
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34332
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30476
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
3704
293.8 IPS |
|
|
Object Detection (HP)
|
100% |
3927
311.5 IPS |
|
|
Object Detection (Q)
|
92% |
3023
241.3 IPS |
|
|
Face Detection (SP)
|
100% |
11885
141.2 IPS |
|
|
Face Detection (HP)
|
100% |
13214
157.0 IPS |
|
|
Face Detection (Q)
|
100% |
9155
108.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19439
149.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19831
152.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
19887
153.8 IPS |
|
|
Style Transfer (SP)
|
100% |
53355
68.6 IPS |
|
|
Style Transfer (HP)
|
100% |
63124
81.1 IPS |
|
|
Style Transfer (Q)
|
100% |
63831
82.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10981
405.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11557
426.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8579
317.8 IPS |
|
|
Text Classification (SP)
|
100% |
481
641.3 IPS |
|
|
Text Classification (HP)
|
100% |
495
660.5 IPS |
|
|
Text Classification (Q)
|
93% |
532
713.6 IPS |
|
|
Machine Translation (SP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1085
18.7 IPS |
