MacBook Pro (14-inch, 2021)
Geekbench AI Score
8180
Single Precision Score
9023
Half Precision Score
8354
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | HJD |
| Upload Date | April 08 2025 09:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
3765
700.3 IPS |
|
|
Image Classification (HP)
|
100% |
3863
718.4 IPS |
|
|
Image Classification (Q)
|
96% |
3569
666.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6720
108.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6785
110.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6463
104.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29702
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31278
36.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
30104
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
3678
291.8 IPS |
|
|
Object Detection (HP)
|
100% |
3833
304.1 IPS |
|
|
Object Detection (Q)
|
92% |
3552
283.5 IPS |
|
|
Face Detection (SP)
|
100% |
13204
156.9 IPS |
|
|
Face Detection (HP)
|
100% |
13705
162.8 IPS |
|
|
Face Detection (Q)
|
100% |
11638
138.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17389
134.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16479
127.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
14907
116.6 IPS |
|
|
Style Transfer (SP)
|
100% |
50084
64.4 IPS |
|
|
Style Transfer (HP)
|
100% |
59105
76.0 IPS |
|
|
Style Transfer (Q)
|
96% |
57681
74.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10453
386.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10849
400.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9509
351.1 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3981
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3951
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1776
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1976
34.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1787
30.9 IPS |
