MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3987
Single Precision Score
5709
Half Precision Score
4899
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | danielmcfarland |
| Upload Date | May 21 2025 02:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1699
316.0 IPS |
|
|
Image Classification (HP)
|
100% |
2291
426.1 IPS |
|
|
Image Classification (Q)
|
96% |
1730
323.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1680
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1570
25.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2248
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8549
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
17064
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14899
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1887
149.6 IPS |
|
|
Object Detection (HP)
|
97% |
2659
211.7 IPS |
|
|
Object Detection (Q)
|
94% |
2045
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
3228
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
5235
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
3372
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6879
53.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
10046
77.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
7628
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21617
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32356
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27262
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4978
183.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6067
224.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4432
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
2891
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
4766
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4732
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3196
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4583
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4574
79.0 IPS |
