MacBook Pro (14-inch, 2024)
Geekbench AI Score
4750
Single Precision Score
7847
Half Precision Score
6330
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | bstrunk |
| Upload Date | March 15 2025 04:12 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2031
377.7 IPS |
|
|
Image Classification (HP)
|
100% |
3301
613.8 IPS |
|
|
Image Classification (Q)
|
96% |
2331
435.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2204
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3397
55.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3722
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10064
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19054
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16564
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2287
181.4 IPS |
|
|
Object Detection (HP)
|
97% |
3806
303.0 IPS |
|
|
Object Detection (Q)
|
94% |
2740
218.4 IPS |
|
|
Face Detection (SP)
|
100% |
3912
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
7584
90.1 IPS |
|
|
Face Detection (Q)
|
100% |
4399
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8342
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14677
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10268
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25284
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38421
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31891
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5851
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6670
246.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4803
177.4 IPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5592
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5542
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3943
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6831
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6851
118.4 IPS |
