MacBook Pro (14-inch, 2021)
Geekbench AI Score
3746
Single Precision Score
5824
Half Precision Score
4726
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Selder |
| Upload Date | December 28 2024 08:15 AM |
| Views | 1 |
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, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1322
245.8 IPS |
|
|
Image Classification (HP)
|
100% |
2037
378.8 IPS |
|
|
Image Classification (Q)
|
96% |
1496
279.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2666
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11094
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22322
26.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17399
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2359
187.8 IPS |
|
|
Object Detection (Q)
|
94% |
1739
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
3326
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
5467
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3092
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5907
45.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10989
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7473
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22524
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35649
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26240
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4334
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6211
229.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4032
148.9 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3921
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3924
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3324
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3484
60.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4811
83.1 IPS |
