MacBook Pro (14-inch, 2024)
Geekbench AI Score
5326
Single Precision Score
8863
Half Precision Score
6887
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | raska-vilem |
| Upload Date | May 28 2025 01:32 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2050
381.3 IPS |
|
|
Image Classification (HP)
|
100% |
3057
568.5 IPS |
|
|
Image Classification (Q)
|
96% |
2163
403.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3534
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3889
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16927
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30735
35.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
23655
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
2461
195.2 IPS |
|
|
Object Detection (HP)
|
97% |
3826
304.6 IPS |
|
|
Object Detection (Q)
|
94% |
2657
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
4608
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
7839
93.1 IPS |
|
|
Face Detection (Q)
|
100% |
4544
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8587
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13757
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10006
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24840
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
47825
61.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38148
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5955
219.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9762
360.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5609
207.1 IPS |
|
|
Text Classification (SP)
|
100% |
2878
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5242
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5254
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5525
95.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8929
154.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8887
153.6 IPS |
