MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4178
Single Precision Score
6884
Half Precision Score
5615
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | LithoChasm |
| Upload Date | March 07 2025 04:29 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1596
296.8 IPS |
|
|
Image Classification (HP)
|
100% |
2806
521.9 IPS |
|
|
Image Classification (Q)
|
96% |
1948
363.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1897
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2810
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3347
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8961
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17296
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14921
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1851
146.8 IPS |
|
|
Object Detection (HP)
|
97% |
3220
256.3 IPS |
|
|
Object Detection (Q)
|
94% |
2310
184.1 IPS |
|
|
Face Detection (SP)
|
100% |
3785
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
6786
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
4046
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7270
56.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13449
104.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9223
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22377
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32937
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27441
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5281
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5753
212.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4339
160.2 IPS |
|
|
Text Classification (SP)
|
100% |
2795
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4901
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4803
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3555
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6423
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6504
112.4 IPS |
