MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
10405
Single Precision Score
12146
Half Precision Score
10661
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | 18kjk |
| Upload Date | September 16 2025 09:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5503
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
5778
1.07 KIPS |
|
|
Image Classification (Q)
|
97% |
4949
923.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6896
111.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8579
139.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8819
143.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
34871
40.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
36723
42.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
34903
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
5493
435.7 IPS |
|
|
Object Detection (HP)
|
100% |
5841
463.3 IPS |
|
|
Object Detection (Q)
|
91% |
4945
395.1 IPS |
|
|
Face Detection (SP)
|
100% |
15944
189.4 IPS |
|
|
Face Detection (HP)
|
100% |
19230
228.5 IPS |
|
|
Face Detection (Q)
|
100% |
14372
170.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
22749
175.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24535
189.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
20924
163.6 IPS |
|
|
Style Transfer (SP)
|
100% |
76885
98.8 IPS |
|
|
Style Transfer (HP)
|
100% |
86710
111.5 IPS |
|
|
Style Transfer (Q)
|
96% |
80849
104.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13767
508.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14872
549.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11255
415.6 IPS |
|
|
Text Classification (SP)
|
100% |
2830
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
4838
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4945
6.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1885
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2233
38.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1861
32.2 IPS |
