MacBook Pro (14-inch, 2024)
Geekbench AI Score
5786
Single Precision Score
9384
Half Precision Score
7190
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | fs36 |
| Upload Date | December 28 2025 01:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2178
405.0 IPS |
|
|
Image Classification (HP)
|
100% |
3058
568.7 IPS |
|
|
Image Classification (Q)
|
96% |
2150
401.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3520
57.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3899
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17352
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34040
39.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
26823
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2506
198.8 IPS |
|
|
Object Detection (HP)
|
97% |
3889
309.6 IPS |
|
|
Object Detection (Q)
|
94% |
2768
220.6 IPS |
|
|
Face Detection (SP)
|
100% |
5062
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
8588
102.0 IPS |
|
|
Face Detection (Q)
|
100% |
4811
57.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8843
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15043
116.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9695
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30616
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
57458
73.9 IPS |
|
|
Style Transfer (Q)
|
96% |
43677
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7055
260.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9302
343.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5394
199.2 IPS |
|
|
Text Classification (SP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5634
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5653
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5988
103.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9558
165.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9556
165.1 IPS |
