MacBook Pro (14-inch, 2021)
Geekbench AI Score
3734
Single Precision Score
5690
Half Precision Score
4708
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | leandrof |
| Upload Date | January 27 2025 02:28 PM |
| Views | 5 |
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, 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% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
2056
382.3 IPS |
|
|
Image Classification (Q)
|
96% |
1495
279.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2249
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2631
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11060
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21671
25.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17042
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2355
187.5 IPS |
|
|
Object Detection (Q)
|
94% |
1739
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
3200
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
5265
62.6 IPS |
|
|
Face Detection (Q)
|
100% |
3109
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5984
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10862
84.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7410
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22239
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34485
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
25937
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4333
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6202
229.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4014
148.2 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3974
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3970
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3331
57.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3105
53.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4821
83.3 IPS |
