MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4071
Single Precision Score
30714
Half Precision Score
34116
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | logowerbung |
| Upload Date | December 22 2025 05:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
1532
284.9 IPS |
|
|
Image Classification (HP)
|
100% |
15904
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
17343
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22753
368.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
28089
455.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8404
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
121544
141.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
119852
140.5 IPS |
|
|
Object Detection (SP)
|
100% |
1730
137.2 IPS |
|
|
Object Detection (HP)
|
100% |
17501
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
19977
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
3665
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
39656
471.2 IPS |
|
|
Face Detection (Q)
|
100% |
52255
620.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7127
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95014
732.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
121610
950.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22049
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
225602
290.0 IPS |
|
|
Style Transfer (Q)
|
96% |
216593
279.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4925
181.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45583
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52555
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3050
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5096
6.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5041
6.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3361
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4916
84.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5022
86.8 IPS |
