MacBook Pro (14-inch, 2021)
Geekbench AI Score
1977
Single Precision Score
12863
Half Precision Score
10691
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mitgeek |
| Upload Date | September 10 2024 02:57 AM |
| Views | 4 |
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, 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% |
945
175.8 IPS |
|
|
Image Classification (HP)
|
100% |
6981
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6578
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3853
62.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
515
8.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
10240
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
68626
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65042
76.2 IPS |
|
|
Object Detection (SP)
|
100% |
1035
82.1 IPS |
|
|
Object Detection (HP)
|
99% |
7577
602.7 IPS |
|
|
Object Detection (Q)
|
93% |
7146
570.2 IPS |
|
|
Face Detection (SP)
|
100% |
1810
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
11451
136.1 IPS |
|
|
Face Detection (Q)
|
100% |
11999
142.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3673
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
45634
351.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
54933
429.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12229
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
116958
150.4 IPS |
|
|
Style Transfer (Q)
|
96% |
114759
148.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2343
86.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18687
690.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23393
863.8 IPS |
|
|
Text Classification (SP)
|
100% |
465
621.1 IPS |
|
|
Text Classification (HP)
|
100% |
3601
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3268
4.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1574
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2156
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2144
37.0 IPS |
