MacBook Pro (14-inch, 2024)
Geekbench AI Score
5779
Single Precision Score
9397
Half Precision Score
7229
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | bogdangolub |
| Upload Date | January 06 2026 02:33 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2153
400.4 IPS |
|
|
Image Classification (HP)
|
100% |
3091
574.8 IPS |
|
|
Image Classification (Q)
|
96% |
2189
408.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3486
56.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3879
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17412
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34091
39.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
26832
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
97% |
3880
308.9 IPS |
|
|
Object Detection (Q)
|
94% |
2763
220.2 IPS |
|
|
Face Detection (SP)
|
100% |
5093
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
8615
102.4 IPS |
|
|
Face Detection (Q)
|
100% |
4822
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8857
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15143
117.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10205
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30727
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
57790
74.3 IPS |
|
|
Style Transfer (Q)
|
96% |
43815
56.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6916
255.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9425
348.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5441
200.9 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5493
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5509
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5975
102.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9652
166.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9586
165.7 IPS |
