MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
10605
Single Precision Score
11296
Half Precision Score
10486
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | chimpur |
| Upload Date | December 16 2025 02:05 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
6089
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
7104
1.32 KIPS |
|
|
Image Classification (Q)
|
96% |
6264
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10829
175.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11901
192.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11387
184.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
43925
51.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
49272
57.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
47436
55.6 IPS |
|
|
Object Detection (SP)
|
100% |
6052
480.1 IPS |
|
|
Object Detection (HP)
|
100% |
6381
506.1 IPS |
|
|
Object Detection (Q)
|
92% |
5940
474.2 IPS |
|
|
Face Detection (SP)
|
100% |
17790
211.4 IPS |
|
|
Face Detection (HP)
|
100% |
23171
275.3 IPS |
|
|
Face Detection (Q)
|
100% |
18689
222.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27795
214.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
30692
236.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
27529
215.0 IPS |
|
|
Style Transfer (SP)
|
100% |
91595
117.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17947
23.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22034
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3759
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11854
437.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8644
319.2 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5020
6.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5080
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2026
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1676
28.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1607
27.8 IPS |
