MacBook Pro (14-inch, 2024)
Geekbench AI Score
5470
Single Precision Score
9098
Half Precision Score
7001
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 29 2026 05:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5112c) |
| 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 | 4.02 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2006
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
3060
569.0 IPS |
|
|
Image Classification (Q)
|
96% |
2113
394.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2253
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3392
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3651
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16099
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33342
38.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
25577
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.0 IPS |
|
|
Object Detection (HP)
|
97% |
3741
297.8 IPS |
|
|
Object Detection (Q)
|
94% |
2590
206.5 IPS |
|
|
Face Detection (SP)
|
100% |
4495
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
7927
94.2 IPS |
|
|
Face Detection (Q)
|
100% |
4452
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8228
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14379
111.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10134
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28321
36.4 IPS |
|
|
Style Transfer (HP)
|
100% |
55368
71.2 IPS |
|
|
Style Transfer (Q)
|
96% |
41669
53.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6831
252.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9452
349.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6056
223.6 IPS |
|
|
Text Classification (SP)
|
100% |
3607
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
5920
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5938
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5307
91.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8508
147.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8193
141.6 IPS |
