MacBook Pro (14-inch, 2021)
Geekbench AI Score
3748
Single Precision Score
5800
Half Precision Score
4736
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | maxcb |
| Upload Date | September 23 2024 11:06 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1320
245.5 IPS |
|
|
Image Classification (HP)
|
100% |
2044
380.1 IPS |
|
|
Image Classification (Q)
|
96% |
1460
272.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2652
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11150
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21408
25.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17325
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2367
188.5 IPS |
|
|
Object Detection (Q)
|
94% |
1738
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
5412
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3129
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5851
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10822
83.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7411
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22393
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34798
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27159
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4401
162.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6269
231.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4065
150.1 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4026
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3918
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3345
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3510
60.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4863
84.0 IPS |
