MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4020
Single Precision Score
7117
Half Precision Score
5790
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iambjlu |
| Upload Date | November 06 2025 12:09 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1527
284.1 IPS |
|
|
Image Classification (HP)
|
100% |
2910
541.1 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2897
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3314
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8416
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
17445
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15077
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1714
136.0 IPS |
|
|
Object Detection (HP)
|
97% |
3243
258.2 IPS |
|
|
Object Detection (Q)
|
94% |
2375
189.3 IPS |
|
|
Face Detection (SP)
|
100% |
3660
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
7027
83.5 IPS |
|
|
Face Detection (Q)
|
100% |
4096
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7080
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12736
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9066
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21753
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33382
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27733
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4890
180.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5903
218.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4357
160.9 IPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5061
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5020
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3334
57.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7838
135.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7765
134.2 IPS |
