MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
10909
Single Precision Score
12731
Half Precision Score
11067
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | iGeneration |
| Upload Date | December 30 2024 11:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 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% |
5972
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
6313
1.17 KIPS |
|
|
Image Classification (Q)
|
97% |
5278
984.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7019
113.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8786
142.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9176
148.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
35175
41.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
37118
43.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
35254
41.3 IPS |
|
|
Object Detection (SP)
|
100% |
5951
472.1 IPS |
|
|
Object Detection (HP)
|
100% |
6352
503.9 IPS |
|
|
Object Detection (Q)
|
91% |
5361
428.4 IPS |
|
|
Face Detection (SP)
|
100% |
16497
196.0 IPS |
|
|
Face Detection (HP)
|
100% |
20307
241.3 IPS |
|
|
Face Detection (Q)
|
100% |
15094
179.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23827
183.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25899
199.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
21724
169.8 IPS |
|
|
Style Transfer (SP)
|
100% |
77642
99.8 IPS |
|
|
Style Transfer (HP)
|
100% |
87911
113.0 IPS |
|
|
Style Transfer (Q)
|
96% |
82116
106.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14413
532.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15860
585.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11969
441.9 IPS |
|
|
Text Classification (SP)
|
100% |
2836
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4941
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4926
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2181
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2362
40.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1897
32.8 IPS |
