MacBook Pro (14-inch, 2021)
Geekbench AI Score
3750
Single Precision Score
5801
Half Precision Score
4733
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Chineezze |
| Upload Date | March 18 2025 01:27 PM |
| Views | 10 |
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% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
2064
383.8 IPS |
|
|
Image Classification (Q)
|
96% |
1490
278.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1569
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2238
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2629
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11277
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22638
26.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17633
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.0 IPS |
|
|
Object Detection (HP)
|
97% |
2356
187.6 IPS |
|
|
Object Detection (Q)
|
94% |
1739
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
3301
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
5380
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
3133
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5940
45.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11002
85.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7373
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22394
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35231
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26505
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4369
161.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6157
227.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3996
147.6 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3961
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4030
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3321
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3445
59.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4772
82.5 IPS |
