MacBook Pro (14-inch, 2021)
Geekbench AI Score
2737
Single Precision Score
4190
Half Precision Score
3468
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | oleker |
| Upload Date | August 18 2024 02:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.21 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1277
237.5 IPS |
|
|
Image Classification (HP)
|
100% |
1643
305.5 IPS |
|
|
Image Classification (Q)
|
99% |
1642
306.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1189
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1193
19.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1162
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5629
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
13103
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11213
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.6 IPS |
|
|
Object Detection (HP)
|
97% |
1889
150.4 IPS |
|
|
Object Detection (Q)
|
94% |
1466
116.8 IPS |
|
|
Face Detection (SP)
|
100% |
2561
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
4050
48.1 IPS |
|
|
Face Detection (Q)
|
100% |
2659
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5040
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7879
60.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
3559
27.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14752
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23497
30.2 IPS |
|
|
Style Transfer (Q)
|
100% |
23125
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3304
122.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4016
148.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3265
121.0 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3628
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3574
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1452
25.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3151
54.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3145
54.4 IPS |
