MacBook Pro (14-inch, 2021)
Geekbench AI Score
6937
Single Precision Score
6810
Half Precision Score
6336
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | roobarb! |
| Upload Date | August 15 2024 10:17 PM |
| Views | 4 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3733
694.3 IPS |
|
|
Image Classification (HP)
|
100% |
3851
716.2 IPS |
|
|
Image Classification (Q)
|
99% |
3434
640.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6011
97.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6090
98.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
5929
96.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
32848
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33779
39.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
30221
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
3756
297.9 IPS |
|
|
Object Detection (HP)
|
100% |
3813
302.4 IPS |
|
|
Object Detection (Q)
|
92% |
3034
242.1 IPS |
|
|
Face Detection (SP)
|
100% |
11867
141.0 IPS |
|
|
Face Detection (HP)
|
100% |
11757
139.7 IPS |
|
|
Face Detection (Q)
|
100% |
8875
105.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19500
150.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20007
154.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
20070
155.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53074
68.2 IPS |
|
|
Style Transfer (HP)
|
100% |
63054
81.1 IPS |
|
|
Style Transfer (Q)
|
100% |
63681
81.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10846
400.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11548
426.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8542
316.5 IPS |
|
|
Text Classification (SP)
|
100% |
927
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
528
704.2 IPS |
|
|
Text Classification (Q)
|
93% |
592
794.3 IPS |
|
|
Machine Translation (SP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (Q)
|
98% |
975
16.8 IPS |
