MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
10504
Single Precision Score
12183
Half Precision Score
10681
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
5442
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
5936
1.10 KIPS |
|
|
Image Classification (Q)
|
97% |
4942
922.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6899
111.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8541
138.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8827
143.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
34889
40.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
36795
42.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
34915
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
5517
437.6 IPS |
|
|
Object Detection (HP)
|
100% |
5848
463.9 IPS |
|
|
Object Detection (Q)
|
91% |
4935
394.4 IPS |
|
|
Face Detection (SP)
|
100% |
16002
190.1 IPS |
|
|
Face Detection (HP)
|
100% |
19340
229.8 IPS |
|
|
Face Detection (Q)
|
100% |
14422
171.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22728
175.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
24581
189.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
20893
163.3 IPS |
|
|
Style Transfer (SP)
|
100% |
76967
98.9 IPS |
|
|
Style Transfer (HP)
|
100% |
86664
111.4 IPS |
|
|
Style Transfer (Q)
|
96% |
80979
104.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13693
505.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14891
549.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11321
418.0 IPS |
|
|
Text Classification (SP)
|
100% |
2779
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4820
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4794
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2125
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2234
38.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1943
33.6 IPS |
