MacBook Pro (14-inch, 2024)
Geekbench AI Score
5785
Single Precision Score
9336
Half Precision Score
7099
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 01:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5031i) |
| 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% |
2159
401.6 IPS |
|
|
Image Classification (HP)
|
100% |
3056
568.3 IPS |
|
|
Image Classification (Q)
|
96% |
2196
410.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3596
58.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3910
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17524
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34244
40.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
26670
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
2581
204.8 IPS |
|
|
Object Detection (HP)
|
97% |
3878
308.7 IPS |
|
|
Object Detection (Q)
|
94% |
2760
220.0 IPS |
|
|
Face Detection (SP)
|
100% |
5073
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
8606
102.3 IPS |
|
|
Face Detection (Q)
|
100% |
4835
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8829
68.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14863
114.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9584
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30332
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
56779
73.0 IPS |
|
|
Style Transfer (Q)
|
96% |
41617
53.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6921
255.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9317
344.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5345
197.4 IPS |
|
|
Text Classification (SP)
|
100% |
3104
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
5350
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5332
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5990
103.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9523
164.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9366
161.9 IPS |
