MacBook Pro (14-inch, 2021)
Geekbench AI Score
3747
Single Precision Score
5788
Half Precision Score
4731
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | November 23 2024 06:50 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
2044
380.2 IPS |
|
|
Image Classification (Q)
|
96% |
1488
277.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1637
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2680
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11097
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22157
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17211
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2358
187.7 IPS |
|
|
Object Detection (Q)
|
94% |
1748
139.3 IPS |
|
|
Face Detection (SP)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
5206
61.9 IPS |
|
|
Face Detection (Q)
|
100% |
3200
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5882
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11024
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7431
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22332
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35242
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26164
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4344
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6140
226.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4020
148.5 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3920
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3926
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3331
57.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3485
60.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4771
82.4 IPS |
