MacBook Pro (14-inch, 2021)
Geekbench AI Score
1964
Single Precision Score
12734
Half Precision Score
13225
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ehixson |
| Upload Date | August 29 2024 08:14 PM |
| Views | 5 |
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% |
904
168.1 IPS |
|
|
Image Classification (HP)
|
100% |
7213
1.34 KIPS |
|
|
Image Classification (Q)
|
99% |
7518
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3869
62.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
3853
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10034
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
69051
80.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
65480
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1036
82.2 IPS |
|
|
Object Detection (HP)
|
99% |
7522
598.3 IPS |
|
|
Object Detection (Q)
|
93% |
7116
567.8 IPS |
|
|
Face Detection (SP)
|
100% |
1732
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
10386
123.4 IPS |
|
|
Face Detection (Q)
|
100% |
11617
138.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3543
27.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
45741
352.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
49513
382.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12127
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
116902
150.3 IPS |
|
|
Style Transfer (Q)
|
100% |
121993
156.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2298
84.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18657
688.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
22837
846.1 IPS |
|
|
Text Classification (SP)
|
100% |
544
726.5 IPS |
|
|
Text Classification (HP)
|
100% |
3504
4.68 KIPS |
|
|
Text Classification (Q)
|
93% |
3538
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1488
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2132
36.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2139
37.0 IPS |
