MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
11952
Single Precision Score
14428
Half Precision Score
12692
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 09:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.04 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6146
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
6669
1.24 KIPS |
|
|
Image Classification (Q)
|
96% |
5969
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10768
174.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11842
192.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11469
185.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
43617
50.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
49096
57.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
47501
55.6 IPS |
|
|
Object Detection (SP)
|
100% |
6010
476.7 IPS |
|
|
Object Detection (HP)
|
100% |
6441
510.9 IPS |
|
|
Object Detection (Q)
|
92% |
5936
473.8 IPS |
|
|
Face Detection (SP)
|
100% |
16863
200.4 IPS |
|
|
Face Detection (HP)
|
100% |
22500
267.4 IPS |
|
|
Face Detection (Q)
|
100% |
18158
215.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27050
208.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
30473
234.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
27536
215.1 IPS |
|
|
Style Transfer (SP)
|
100% |
90518
116.4 IPS |
|
|
Style Transfer (HP)
|
100% |
106498
136.9 IPS |
|
|
Style Transfer (Q)
|
96% |
102296
132.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14969
552.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16547
611.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13708
506.2 IPS |
|
|
Text Classification (SP)
|
100% |
3047
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5024
6.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4899
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1822
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2579
44.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1636
28.3 IPS |
