MacBook Pro (14-inch, 2024)
Geekbench AI Score
5594
Single Precision Score
8950
Half Precision Score
6929
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | julioarregoitia |
| Upload Date | December 22 2024 10:34 PM |
| Views | 3 |
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 | 4.48 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2035
378.5 IPS |
|
|
Image Classification (HP)
|
100% |
2978
553.8 IPS |
|
|
Image Classification (Q)
|
96% |
2179
406.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3493
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3917
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18677
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31674
37.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24361
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2418
191.8 IPS |
|
|
Object Detection (HP)
|
97% |
3805
303.0 IPS |
|
|
Object Detection (Q)
|
94% |
2642
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
4465
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
7993
95.0 IPS |
|
|
Face Detection (Q)
|
100% |
4656
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8727
67.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14563
112.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10681
83.4 IPS |
|
|
Style Transfer (SP)
|
100% |
34744
44.7 IPS |
|
|
Style Transfer (HP)
|
100% |
52593
67.6 IPS |
|
|
Style Transfer (Q)
|
96% |
40122
51.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6077
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9518
351.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5226
193.0 IPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5247
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5185
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5630
97.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8612
148.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8593
148.5 IPS |
