MacBook Pro (14-inch, Nov 2023) CPU AI MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4188
Single Precision Score
6878
Half Precision Score
5598
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | lechnowak |
| Upload Date | November 20 2024 06:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1601
297.7 IPS |
|
|
Image Classification (HP)
|
100% |
2814
523.4 IPS |
|
|
Image Classification (Q)
|
96% |
1949
363.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2843
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3339
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8976
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17230
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14841
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1839
145.9 IPS |
|
|
Object Detection (HP)
|
97% |
3207
255.3 IPS |
|
|
Object Detection (Q)
|
94% |
2291
182.6 IPS |
|
|
Face Detection (SP)
|
100% |
3727
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
6769
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
4013
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7289
56.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13394
103.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9185
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22413
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32898
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27445
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5232
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5656
208.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4244
156.7 IPS |
|
|
Text Classification (SP)
|
100% |
2826
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4973
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4950
6.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3530
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6395
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6430
111.1 IPS |
