MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3975
Single Precision Score
5674
Half Precision Score
4853
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | wakhid |
| Upload Date | September 22 2025 10:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.8 (Build 23J21) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1700
316.2 IPS |
|
|
Image Classification (HP)
|
100% |
2272
422.5 IPS |
|
|
Image Classification (Q)
|
96% |
1697
316.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1555
25.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2207
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8567
10.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
17106
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14858
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1871
148.4 IPS |
|
|
Object Detection (HP)
|
97% |
2635
209.7 IPS |
|
|
Object Detection (Q)
|
94% |
2010
160.2 IPS |
|
|
Face Detection (SP)
|
100% |
3211
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
5124
60.9 IPS |
|
|
Face Detection (Q)
|
100% |
3325
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6807
52.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
9862
76.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
7493
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21623
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32130
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26960
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4997
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6147
227.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4466
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
2897
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
4752
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4725
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3180
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4584
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4573
79.0 IPS |
