MacBook Pro (14-inch, 2021)
Geekbench AI Score
3737
Single Precision Score
5752
Half Precision Score
4708
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 07:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1332
247.7 IPS |
|
|
Image Classification (HP)
|
100% |
2048
380.8 IPS |
|
|
Image Classification (Q)
|
96% |
1496
279.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1599
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2682
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11107
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22587
26.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16974
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2376
189.2 IPS |
|
|
Object Detection (Q)
|
94% |
1748
139.3 IPS |
|
|
Face Detection (SP)
|
100% |
3258
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
5116
60.8 IPS |
|
|
Face Detection (Q)
|
100% |
3050
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5881
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11026
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7384
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22240
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35195
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26168
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4365
161.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6153
227.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4038
149.1 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3949
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3934
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3317
57.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3193
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4810
83.1 IPS |
