MacBook Pro M3 Pro (14-inch, Nov 2023) MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3912
Single Precision Score
5478
Half Precision Score
4737
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Lui |
| Upload Date | February 25 2025 09:01 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.7.4 (Build 23H420) |
| 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 | 4.00 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1650
306.8 IPS |
|
|
Image Classification (HP)
|
100% |
2108
392.0 IPS |
|
|
Image Classification (Q)
|
96% |
1643
306.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1500
24.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2150
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8522
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
16857
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14570
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.9 IPS |
|
|
Object Detection (HP)
|
97% |
2519
200.5 IPS |
|
|
Object Detection (Q)
|
94% |
1934
154.1 IPS |
|
|
Face Detection (SP)
|
100% |
3289
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5050
60.0 IPS |
|
|
Face Detection (Q)
|
100% |
3356
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6656
51.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
9555
73.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
7318
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21116
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30927
39.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26003
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4950
182.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5736
211.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4291
158.5 IPS |
|
|
Text Classification (SP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4510
6.02 KIPS |
|
|
Text Classification (Q)
|
93% |
4443
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3181
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4703
81.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4702
81.3 IPS |
