MacBook Pro (14-inch, 2024)
Geekbench AI Score
5784
Single Precision Score
9352
Half Precision Score
7155
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 06:26 PM |
| Views | 3 |
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% |
2146
399.0 IPS |
|
|
Image Classification (HP)
|
100% |
3043
566.0 IPS |
|
|
Image Classification (Q)
|
96% |
2133
398.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3452
56.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3897
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17384
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34080
39.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
26846
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
97% |
3893
309.9 IPS |
|
|
Object Detection (Q)
|
94% |
2757
219.7 IPS |
|
|
Face Detection (SP)
|
100% |
5086
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
8628
102.5 IPS |
|
|
Face Detection (Q)
|
100% |
4819
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8802
67.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15054
116.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9730
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30731
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
57774
74.3 IPS |
|
|
Style Transfer (Q)
|
96% |
43651
56.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6947
256.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9275
342.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5374
198.4 IPS |
|
|
Text Classification (SP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5706
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5594
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5965
102.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9252
159.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9299
160.7 IPS |
