MacBook Pro (14-inch, 2024)
Geekbench AI Score
5780
Single Precision Score
8940
Half Precision Score
6876
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 04 2025 06:42 PM |
| Views | 2 |
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, 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% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
3039
565.2 IPS |
|
|
Image Classification (Q)
|
96% |
2186
408.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2540
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3573
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3927
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18950
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31945
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
23996
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2488
197.3 IPS |
|
|
Object Detection (HP)
|
97% |
3816
303.8 IPS |
|
|
Object Detection (Q)
|
94% |
2656
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
4534
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
7849
93.3 IPS |
|
|
Face Detection (Q)
|
100% |
4626
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8800
67.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14226
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10019
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35128
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
50763
65.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39305
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7021
259.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9520
351.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5171
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5196
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5205
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5796
99.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8792
151.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8808
152.2 IPS |
