MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3905
Single Precision Score
6818
Half Precision Score
5525
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Peanutss |
| Upload Date | March 02 2026 03:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.75 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1443
268.4 IPS |
|
|
Image Classification (HP)
|
100% |
2687
499.7 IPS |
|
|
Image Classification (Q)
|
96% |
1837
343.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1776
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2719
44.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3101
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8234
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
17059
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14710
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1659
131.6 IPS |
|
|
Object Detection (HP)
|
97% |
3022
240.6 IPS |
|
|
Object Detection (Q)
|
94% |
2205
175.8 IPS |
|
|
Face Detection (SP)
|
100% |
3509
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
6564
78.0 IPS |
|
|
Face Detection (Q)
|
100% |
3885
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6888
53.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12321
95.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8782
68.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21483
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32636
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27052
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4749
175.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5828
215.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4213
155.6 IPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
5100
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5057
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3226
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7348
127.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7297
126.1 IPS |
