MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4169
Single Precision Score
6914
Half Precision Score
5604
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1586
294.9 IPS |
|
|
Image Classification (HP)
|
100% |
2806
521.8 IPS |
|
|
Image Classification (Q)
|
96% |
1951
364.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1894
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2917
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3361
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8970
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17298
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14904
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1842
146.1 IPS |
|
|
Object Detection (HP)
|
97% |
3218
256.2 IPS |
|
|
Object Detection (Q)
|
94% |
2301
183.4 IPS |
|
|
Face Detection (SP)
|
100% |
3744
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
6730
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
4020
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7232
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13342
103.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9200
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22429
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33404
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27480
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5312
196.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5644
208.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4272
157.7 IPS |
|
|
Text Classification (SP)
|
100% |
2794
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4977
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4813
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3550
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6505
112.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6511
112.5 IPS |
