MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
13398
Single Precision Score
15745
Half Precision Score
14313
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 01 2025 09:04 PM |
| Views | 9 |
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, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6421
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
7189
1.34 KIPS |
|
|
Image Classification (Q)
|
96% |
5813
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10942
177.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11982
194.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11523
186.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
43886
51.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
49292
57.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
47593
55.7 IPS |
|
|
Object Detection (SP)
|
100% |
6331
502.2 IPS |
|
|
Object Detection (HP)
|
100% |
6428
509.9 IPS |
|
|
Object Detection (Q)
|
92% |
5959
475.7 IPS |
|
|
Face Detection (SP)
|
100% |
17599
209.1 IPS |
|
|
Face Detection (HP)
|
100% |
23724
281.9 IPS |
|
|
Face Detection (Q)
|
100% |
18687
222.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27705
213.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
30504
235.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
27801
217.2 IPS |
|
|
Style Transfer (SP)
|
100% |
91828
118.0 IPS |
|
|
Style Transfer (HP)
|
100% |
106929
137.5 IPS |
|
|
Style Transfer (Q)
|
96% |
103090
133.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15334
566.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17267
637.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13665
504.6 IPS |
|
|
Text Classification (SP)
|
100% |
3013
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5079
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5073
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4618
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5058
87.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5119
88.5 IPS |
