MacBook Pro (14-inch, 2021)
Geekbench AI Score
7156
Single Precision Score
7965
Half Precision Score
6992
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | oridwanbello |
| Upload Date | March 12 2025 10:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3830
712.3 IPS |
|
|
Image Classification (HP)
|
100% |
3977
739.7 IPS |
|
|
Image Classification (Q)
|
97% |
3261
608.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5848
94.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5958
96.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5758
93.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29168
34.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31230
36.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
28838
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
3439
272.8 IPS |
|
|
Object Detection (HP)
|
100% |
3750
297.5 IPS |
|
|
Object Detection (Q)
|
91% |
3237
258.7 IPS |
|
|
Face Detection (SP)
|
100% |
12848
152.7 IPS |
|
|
Face Detection (HP)
|
100% |
13627
161.9 IPS |
|
|
Face Detection (Q)
|
100% |
9899
117.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17507
134.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17861
137.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
14794
115.6 IPS |
|
|
Style Transfer (SP)
|
100% |
50039
64.3 IPS |
|
|
Style Transfer (HP)
|
100% |
58991
75.8 IPS |
|
|
Style Transfer (Q)
|
96% |
54425
70.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10525
388.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10831
399.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8563
316.2 IPS |
|
|
Text Classification (SP)
|
100% |
2328
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3950
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3955
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
569
9.79 IPS |
|
|
Machine Translation (HP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (Q)
|
98% |
591
10.2 IPS |
