MacBook Pro (14-inch, 2021)
Geekbench AI Score
3757
Single Precision Score
5790
Half Precision Score
4750
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | CordonTi |
| Upload Date | January 01 2025 04:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| 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% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
2002
372.3 IPS |
|
|
Image Classification (Q)
|
96% |
1432
267.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2685
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11242
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
22150
25.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17461
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.4 IPS |
|
|
Object Detection (HP)
|
97% |
2381
189.6 IPS |
|
|
Object Detection (Q)
|
94% |
1757
140.1 IPS |
|
|
Face Detection (SP)
|
100% |
3272
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5440
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3207
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5963
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10964
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7427
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22435
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35358
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26604
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4403
162.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6270
231.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4079
150.6 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4014
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3925
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3371
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3224
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4894
84.6 IPS |
