MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
12241
Single Precision Score
14052
Half Precision Score
13113
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Alexandre777 |
| Upload Date | March 13 2026 10:13 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 4.06 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5978
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
6189
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5829
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9340
151.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10095
163.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9615
155.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
33721
39.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
37411
43.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
36335
42.6 IPS |
|
|
Object Detection (SP)
|
100% |
5639
447.3 IPS |
|
|
Object Detection (HP)
|
100% |
5804
460.4 IPS |
|
|
Object Detection (Q)
|
91% |
5615
448.7 IPS |
|
|
Face Detection (SP)
|
100% |
17251
205.0 IPS |
|
|
Face Detection (HP)
|
100% |
21539
255.9 IPS |
|
|
Face Detection (Q)
|
100% |
19842
235.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
22653
174.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
25096
193.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
23556
184.3 IPS |
|
|
Style Transfer (SP)
|
100% |
76596
98.5 IPS |
|
|
Style Transfer (HP)
|
100% |
87293
112.2 IPS |
|
|
Style Transfer (Q)
|
96% |
84040
108.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13586
501.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14559
537.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12446
459.6 IPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
5073
6.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5053
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5859
100.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6350
109.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5322
92.0 IPS |
