MacBook Pro (14-inch, 2024)
Geekbench AI Score
15373
Single Precision Score
17271
Half Precision Score
16024
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | zhangleimoth |
| Upload Date | October 24 2025 09:41 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7260
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7893
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
6992
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12608
204.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12860
208.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12390
200.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
44254
51.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
49480
57.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
47672
55.8 IPS |
|
|
Object Detection (SP)
|
100% |
6798
539.2 IPS |
|
|
Object Detection (HP)
|
100% |
7111
564.0 IPS |
|
|
Object Detection (Q)
|
92% |
6632
529.4 IPS |
|
|
Face Detection (SP)
|
100% |
23629
280.8 IPS |
|
|
Face Detection (HP)
|
100% |
26698
317.2 IPS |
|
|
Face Detection (Q)
|
100% |
21800
259.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
30632
236.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
32417
249.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
29595
231.2 IPS |
|
|
Style Transfer (SP)
|
100% |
102298
131.5 IPS |
|
|
Style Transfer (HP)
|
100% |
113506
145.9 IPS |
|
|
Style Transfer (Q)
|
96% |
110141
142.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17910
661.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17810
657.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15473
571.4 IPS |
|
|
Text Classification (SP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5898
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5766
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
6067
104.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6408
110.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6428
111.1 IPS |
