MacBook Pro (14-inch, 2024)
Geekbench AI Score
5777
Single Precision Score
8861
Half Precision Score
6872
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 07:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2079
386.6 IPS |
|
|
Image Classification (HP)
|
100% |
3031
563.7 IPS |
|
|
Image Classification (Q)
|
96% |
2193
409.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2444
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3440
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3920
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18946
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30476
35.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24019
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2488
197.3 IPS |
|
|
Object Detection (HP)
|
97% |
3827
304.7 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
4572
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
7854
93.3 IPS |
|
|
Face Detection (Q)
|
100% |
4604
54.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8868
68.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14195
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9972
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
35788
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49797
64.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38699
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7068
261.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9696
358.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5233
193.2 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5168
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5239
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5752
99.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8827
152.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8806
152.2 IPS |
