MacBook Pro (14-inch, 2024)
Geekbench AI Score
5797
Single Precision Score
8949
Half Precision Score
6872
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | T--m |
| Upload Date | March 19 2025 09:07 PM |
| Views | 6 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
3037
564.9 IPS |
|
|
Image Classification (Q)
|
96% |
2190
408.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2526
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3591
58.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3910
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18955
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31933
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24051
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
97% |
3827
304.6 IPS |
|
|
Object Detection (Q)
|
94% |
2657
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
4639
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
7960
94.6 IPS |
|
|
Face Detection (Q)
|
100% |
4642
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8821
68.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14197
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10199
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35438
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49811
64.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38479
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7021
259.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9565
353.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5222
192.8 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5196
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5175
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5829
100.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8837
152.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8727
150.8 IPS |
