MacBook Pro (14-inch, 2024)
Geekbench AI Score
5731
Single Precision Score
9352
Half Precision Score
7177
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 06:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2167
403.1 IPS |
|
|
Image Classification (HP)
|
100% |
3075
571.8 IPS |
|
|
Image Classification (Q)
|
96% |
2181
407.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3460
56.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3893
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17231
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34271
40.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
26784
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (HP)
|
97% |
3888
309.5 IPS |
|
|
Object Detection (Q)
|
94% |
2761
220.1 IPS |
|
|
Face Detection (SP)
|
100% |
5064
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
8632
102.6 IPS |
|
|
Face Detection (Q)
|
100% |
4823
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8473
65.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15281
118.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9686
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30453
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
56882
73.1 IPS |
|
|
Style Transfer (Q)
|
96% |
43599
56.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7035
259.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9313
343.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5295
195.5 IPS |
|
|
Text Classification (SP)
|
100% |
3103
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
5372
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5611
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5907
101.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9624
166.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9553
165.1 IPS |
