MacBook Pro (14-inch, 2024)
Geekbench AI Score
5376
Single Precision Score
8959
Half Precision Score
6930
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 02:53 PM |
| Views | 5 |
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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2068
384.5 IPS |
|
|
Image Classification (HP)
|
100% |
3031
563.6 IPS |
|
|
Image Classification (Q)
|
96% |
2170
405.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2267
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3354
54.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3905
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17159
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32045
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24087
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (HP)
|
97% |
3828
304.7 IPS |
|
|
Object Detection (Q)
|
94% |
2649
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
4732
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
7917
94.1 IPS |
|
|
Face Detection (Q)
|
100% |
4553
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8614
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13878
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10114
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25467
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
50684
65.2 IPS |
|
|
Style Transfer (Q)
|
96% |
39517
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5967
220.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10023
370.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5619
207.5 IPS |
|
|
Text Classification (SP)
|
100% |
2876
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5336
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5119
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5639
97.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8969
155.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9036
156.2 IPS |
