MacBook Pro (14-inch, 2021)
Geekbench AI Score
3765
Single Precision Score
5809
Half Precision Score
4718
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | oridwanbello |
| Upload Date | March 12 2025 10:17 PM |
| Views | 7 |
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% |
1340
249.3 IPS |
|
|
Image Classification (HP)
|
100% |
2051
381.5 IPS |
|
|
Image Classification (Q)
|
96% |
1494
279.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2648
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11098
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21975
25.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
17178
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.0 IPS |
|
|
Object Detection (HP)
|
97% |
2359
187.8 IPS |
|
|
Object Detection (Q)
|
94% |
1721
137.2 IPS |
|
|
Face Detection (SP)
|
100% |
3247
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
5293
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
3146
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5994
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10925
84.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7403
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22605
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34725
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
25762
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4351
160.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6373
235.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4013
148.2 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4026
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3998
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3339
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3445
59.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4857
83.9 IPS |
