MacBook Pro (14-inch, 2024)
Geekbench AI Score
5774
Single Precision Score
8898
Half Precision Score
6896
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | DJENT |
| Upload Date | March 12 2025 06:23 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2079
386.6 IPS |
|
|
Image Classification (HP)
|
100% |
3033
564.1 IPS |
|
|
Image Classification (Q)
|
96% |
2201
411.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2511
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3518
57.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3935
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18921
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30760
35.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
23981
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
97% |
3838
305.5 IPS |
|
|
Object Detection (Q)
|
94% |
2670
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
4506
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
7782
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
4652
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8816
67.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14373
111.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9984
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35640
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
50497
64.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38701
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7016
259.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9525
351.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5290
195.3 IPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5212
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5262
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5763
99.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8816
152.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8772
151.6 IPS |
