MacBook Pro (14-inch, 2021)
Geekbench AI Score
3738
Single Precision Score
5655
Half Precision Score
4710
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | astazyx |
| Upload Date | March 08 2025 01:28 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1334
248.1 IPS |
|
|
Image Classification (HP)
|
100% |
2046
380.5 IPS |
|
|
Image Classification (Q)
|
96% |
1486
277.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2261
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2633
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11054
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22625
26.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17008
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
97% |
2345
186.7 IPS |
|
|
Object Detection (Q)
|
94% |
1736
138.4 IPS |
|
|
Face Detection (SP)
|
100% |
3270
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5483
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3127
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5961
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10172
78.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7339
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22179
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32982
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27038
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4334
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6159
227.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4009
148.0 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3909
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3887
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3331
57.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3077
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4812
83.2 IPS |
