MacBook Pro M1 Pro MacBook Pro (14-inch, 2021)
Geekbench AI Score
3734
Single Precision Score
5717
Half Precision Score
4725
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ndelettre |
| Upload Date | December 07 2024 02:29 PM |
| Views | 4 |
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, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1326
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
2047
380.7 IPS |
|
|
Image Classification (Q)
|
96% |
1493
278.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2266
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2631
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11107
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22106
25.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17134
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.4 IPS |
|
|
Object Detection (HP)
|
97% |
2367
188.4 IPS |
|
|
Object Detection (Q)
|
94% |
1728
137.7 IPS |
|
|
Face Detection (SP)
|
100% |
3285
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5437
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3124
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5863
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10875
84.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7416
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22238
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34838
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27175
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4354
160.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6089
224.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3998
147.6 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3942
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3950
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3311
57.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3110
53.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4804
83.0 IPS |
