MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4074
Single Precision Score
7223
Half Precision Score
5883
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | logowerbung |
| Upload Date | December 22 2025 05:24 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1536
285.6 IPS |
|
|
Image Classification (HP)
|
100% |
2951
548.8 IPS |
|
|
Image Classification (Q)
|
96% |
2076
387.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1912
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3016
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3398
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8420
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
17454
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15164
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1735
137.6 IPS |
|
|
Object Detection (HP)
|
97% |
3239
257.8 IPS |
|
|
Object Detection (Q)
|
94% |
2375
189.3 IPS |
|
|
Face Detection (SP)
|
100% |
3710
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
7176
85.3 IPS |
|
|
Face Detection (Q)
|
100% |
4231
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7097
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12784
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9074
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21884
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33596
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28035
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4867
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5940
219.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4388
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
3046
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5126
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5068
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3441
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8188
141.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8178
141.3 IPS |
