MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4162
Single Precision Score
6850
Half Precision Score
5625
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Chineezze |
| Upload Date | March 19 2025 10:17 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1596
296.9 IPS |
|
|
Image Classification (HP)
|
100% |
2803
521.3 IPS |
|
|
Image Classification (Q)
|
96% |
1958
365.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2831
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3345
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8972
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17310
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14930
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1848
146.6 IPS |
|
|
Object Detection (HP)
|
97% |
3202
254.9 IPS |
|
|
Object Detection (Q)
|
94% |
2309
184.0 IPS |
|
|
Face Detection (SP)
|
100% |
3712
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
6558
77.9 IPS |
|
|
Face Detection (Q)
|
100% |
3994
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7272
56.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13419
103.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9229
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22325
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32858
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27470
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5283
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5710
210.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4321
159.5 IPS |
|
|
Text Classification (SP)
|
100% |
2808
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4850
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4955
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6465
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6485
112.1 IPS |
