MacBook Pro (14-inch, 2024)
Geekbench AI Score
5786
Single Precision Score
9328
Half Precision Score
7179
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 03 2025 12:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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
402.9 IPS |
|
|
Image Classification (HP)
|
100% |
3062
569.4 IPS |
|
|
Image Classification (Q)
|
96% |
2195
409.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2440
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3615
58.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3909
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17374
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34020
39.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
26800
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2576
204.4 IPS |
|
|
Object Detection (HP)
|
97% |
3891
309.7 IPS |
|
|
Object Detection (Q)
|
94% |
2750
219.2 IPS |
|
|
Face Detection (SP)
|
100% |
5054
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
8603
102.2 IPS |
|
|
Face Detection (Q)
|
100% |
4778
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8822
68.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14857
114.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9590
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30482
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
56921
73.2 IPS |
|
|
Style Transfer (Q)
|
96% |
43684
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7057
260.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9281
342.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5706
210.7 IPS |
|
|
Text Classification (SP)
|
100% |
3100
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
5335
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5333
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5980
103.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9450
163.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9441
163.2 IPS |
