MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
10588
Single Precision Score
12321
Half Precision Score
10854
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | justadri |
| Upload Date | December 13 2024 10:48 AM |
| Views | 7 |
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% |
5634
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
6019
1.12 KIPS |
|
|
Image Classification (Q)
|
97% |
5045
941.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6931
112.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8811
142.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9102
147.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
34890
40.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
36791
42.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
34953
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
5606
444.7 IPS |
|
|
Object Detection (HP)
|
100% |
6042
479.2 IPS |
|
|
Object Detection (Q)
|
91% |
5054
403.9 IPS |
|
|
Face Detection (SP)
|
100% |
15833
188.1 IPS |
|
|
Face Detection (HP)
|
100% |
18799
223.4 IPS |
|
|
Face Detection (Q)
|
100% |
14511
172.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23048
177.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25390
195.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
20870
163.1 IPS |
|
|
Style Transfer (SP)
|
100% |
78141
100.5 IPS |
|
|
Style Transfer (HP)
|
100% |
86668
111.4 IPS |
|
|
Style Transfer (Q)
|
96% |
81475
105.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13739
507.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15219
562.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11380
420.2 IPS |
|
|
Text Classification (SP)
|
100% |
2790
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4858
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4839
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2122
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2237
38.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2060
35.6 IPS |
