MacBook Pro (14-inch, 2021)
Geekbench AI Score
3628
Single Precision Score
5734
Half Precision Score
4633
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | nsddddddddd |
| Upload Date | March 09 2025 09:20 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
2011
374.0 IPS |
|
|
Image Classification (Q)
|
96% |
1497
279.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1508
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2201
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2545
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10859
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
21116
24.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
17122
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
97% |
2262
180.1 IPS |
|
|
Object Detection (Q)
|
94% |
1702
135.6 IPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
5176
61.5 IPS |
|
|
Face Detection (Q)
|
100% |
3088
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5807
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10180
78.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7017
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21817
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33761
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26893
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4256
157.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5702
210.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4034
148.9 IPS |
|
|
Text Classification (SP)
|
100% |
2222
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3808
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3758
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3066
52.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4709
81.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4652
80.4 IPS |
