MacBook Pro (14-inch, 2021)
Geekbench AI Score
2334
Single Precision Score
3495
Half Precision Score
3009
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | GianPaJ |
| Upload Date | April 04 2025 08:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.7.5 (Build 23H527) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 2.44 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1075
199.9 IPS |
|
|
Image Classification (HP)
|
100% |
1334
248.2 IPS |
|
|
Image Classification (Q)
|
96% |
999
186.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1006
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
941
15.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1329
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4651
5.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
11144
13.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9600
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1150
91.2 IPS |
|
|
Object Detection (HP)
|
97% |
1571
125.0 IPS |
|
|
Object Detection (Q)
|
94% |
1201
95.7 IPS |
|
|
Face Detection (SP)
|
100% |
2205
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
3298
39.2 IPS |
|
|
Face Detection (Q)
|
100% |
2107
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4263
32.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
6592
51.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
4922
38.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12414
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19751
25.4 IPS |
|
|
Style Transfer (Q)
|
96% |
16733
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2858
105.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3515
129.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2815
103.9 IPS |
|
|
Text Classification (SP)
|
100% |
1919
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3055
4.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3037
4.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2690
46.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2686
46.4 IPS |
