MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
11869
Single Precision Score
13770
Half Precision Score
12684
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | BrantB |
| Upload Date | December 11 2025 04:49 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.03 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5817
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
6274
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5474
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9359
151.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10123
164.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9631
156.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
33750
39.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
37768
44.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
36589
42.9 IPS |
|
|
Object Detection (SP)
|
100% |
5561
441.1 IPS |
|
|
Object Detection (HP)
|
100% |
5888
467.1 IPS |
|
|
Object Detection (Q)
|
92% |
5456
435.5 IPS |
|
|
Face Detection (SP)
|
100% |
16599
197.2 IPS |
|
|
Face Detection (HP)
|
100% |
20599
244.8 IPS |
|
|
Face Detection (Q)
|
100% |
16789
199.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
22886
176.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
25321
195.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
23058
180.1 IPS |
|
|
Style Transfer (SP)
|
100% |
76535
98.4 IPS |
|
|
Style Transfer (HP)
|
100% |
87520
112.5 IPS |
|
|
Style Transfer (Q)
|
96% |
85067
109.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13722
506.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15491
572.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12734
470.2 IPS |
|
|
Text Classification (SP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
4987
6.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4961
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4585
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4923
84.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4925
85.1 IPS |
