MacBook Pro (14-inch, 2024)
Geekbench AI Score
5391
Single Precision Score
8978
Half Precision Score
6935
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Moklonus |
| Upload Date | May 16 2025 09:51 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
3029
563.4 IPS |
|
|
Image Classification (Q)
|
96% |
2189
408.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2284
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3664
59.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3877
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17198
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30847
36.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
23650
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (HP)
|
97% |
3822
304.3 IPS |
|
|
Object Detection (Q)
|
94% |
2660
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
4694
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
7896
93.8 IPS |
|
|
Face Detection (Q)
|
100% |
4660
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8642
66.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14330
110.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10136
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26146
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
50369
64.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38681
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5973
220.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10002
369.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5669
209.3 IPS |
|
|
Text Classification (SP)
|
100% |
2888
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5130
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5243
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5618
96.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8898
153.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8880
153.5 IPS |
