MacBook Pro (16-inch, 2021)
Geekbench AI Score
3726
Single Precision Score
13779
Half Precision Score
13989
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | LulzSec |
| Upload Date | August 15 2024 11:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| 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% |
1325
246.4 IPS |
|
|
Image Classification (HP)
|
100% |
6730
1.25 KIPS |
|
|
Image Classification (Q)
|
99% |
7142
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5842
94.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
5844
94.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11145
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
68794
80.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
64172
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
99% |
7220
574.3 IPS |
|
|
Object Detection (Q)
|
91% |
7396
590.9 IPS |
|
|
Face Detection (SP)
|
100% |
3284
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
11819
140.4 IPS |
|
|
Face Detection (Q)
|
100% |
11466
136.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5873
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
45191
348.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
48706
376.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22376
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
116068
149.2 IPS |
|
|
Style Transfer (Q)
|
100% |
121291
155.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4336
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25649
947.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27215
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3765
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3722
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3311
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2111
36.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2112
36.5 IPS |
