MacBook Pro (14-inch, 2024)
Geekbench AI Score
5804
Single Precision Score
37240
Half Precision Score
50180
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 22 2025 06:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2172
403.9 IPS |
|
|
Image Classification (HP)
|
100% |
17647
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
21916
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23593
382.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31719
514.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17284
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122687
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
228480
267.8 IPS |
|
|
Object Detection (SP)
|
100% |
2575
204.3 IPS |
|
|
Object Detection (HP)
|
100% |
20092
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
23618
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
5083
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
44566
529.5 IPS |
|
|
Face Detection (Q)
|
100% |
63952
759.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8809
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104293
803.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
177853
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
30648
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
236992
304.7 IPS |
|
|
Style Transfer (Q)
|
96% |
329404
425.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7007
258.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48764
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78941
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
3307
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5628
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5545
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5926
102.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16538
284.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16455
284.4 IPS |
