MacBook Pro (14-inch, 2021)
Geekbench AI Score
1667
Single Precision Score
11756
Half Precision Score
12177
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | oleker |
| Upload Date | August 18 2024 07:04 PM |
| 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 | 2.44 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
796
148.0 IPS |
|
|
Image Classification (HP)
|
100% |
6502
1.21 KIPS |
|
|
Image Classification (Q)
|
99% |
6679
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
534
8.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
3714
60.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
3720
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8585
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
67959
79.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
64704
75.9 IPS |
|
|
Object Detection (SP)
|
100% |
799
63.4 IPS |
|
|
Object Detection (HP)
|
99% |
6813
542.0 IPS |
|
|
Object Detection (Q)
|
93% |
6568
524.1 IPS |
|
|
Face Detection (SP)
|
100% |
1530
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
10204
121.2 IPS |
|
|
Face Detection (Q)
|
100% |
10935
129.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3053
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
43640
336.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
46983
363.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10249
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
114128
146.7 IPS |
|
|
Style Transfer (Q)
|
100% |
119599
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1946
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18080
667.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
21920
812.1 IPS |
|
|
Text Classification (SP)
|
100% |
447
596.7 IPS |
|
|
Text Classification (HP)
|
100% |
2719
3.63 KIPS |
|
|
Text Classification (Q)
|
93% |
2821
3.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1368
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1806
31.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1787
30.9 IPS |
