MacBook Pro (14-inch, 2021)
Geekbench AI Score
3772
Single Precision Score
5937
Half Precision Score
4753
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | sophatvathana |
| Upload Date | April 09 2025 01:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1347
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
2071
385.2 IPS |
|
|
Image Classification (Q)
|
96% |
1504
280.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2656
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11230
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
22246
26.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16963
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2363
188.2 IPS |
|
|
Object Detection (Q)
|
94% |
1748
139.3 IPS |
|
|
Face Detection (SP)
|
100% |
3282
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5431
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3148
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6047
46.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10819
83.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7399
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22449
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35122
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26125
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4391
162.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6414
236.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4078
150.6 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4029
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4023
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3373
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4051
70.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4980
86.1 IPS |
