MacBook Pro (14-inch, 2021)
Geekbench AI Score
1610
Single Precision Score
11146
Half Precision Score
8067
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | iro |
| Upload Date | August 16 2024 07:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| 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 | 2.44 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
790
146.9 IPS |
|
|
Image Classification (HP)
|
100% |
6519
1.21 KIPS |
|
|
Image Classification (Q)
|
99% |
6669
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
545
8.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1893
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8792
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
67302
78.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
61014
71.6 IPS |
|
|
Object Detection (SP)
|
100% |
912
72.3 IPS |
|
|
Object Detection (HP)
|
99% |
6753
537.2 IPS |
|
|
Object Detection (Q)
|
93% |
6522
520.4 IPS |
|
|
Face Detection (SP)
|
100% |
1574
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
10683
126.9 IPS |
|
|
Face Detection (Q)
|
100% |
446
5.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
2608
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
43892
338.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
45400
351.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10461
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
114270
146.9 IPS |
|
|
Style Transfer (Q)
|
100% |
118647
152.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18063
667.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
17609
652.4 IPS |
|
|
Text Classification (SP)
|
100% |
390
520.3 IPS |
|
|
Text Classification (HP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3104
4.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1780
30.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1770
30.6 IPS |
