MacBook Pro (14-inch, 2024)
Geekbench AI Score
4879
Single Precision Score
7950
Half Precision Score
6417
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | c_wich |
| Upload Date | April 06 2025 08:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
2099
390.3 IPS |
|
|
Image Classification (HP)
|
100% |
3334
620.0 IPS |
|
|
Image Classification (Q)
|
96% |
2336
436.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2302
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3424
55.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3750
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9970
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19339
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16722
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2464
195.4 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.1 IPS |
|
|
Object Detection (Q)
|
94% |
2760
220.0 IPS |
|
|
Face Detection (SP)
|
100% |
4269
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
7528
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4448
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8698
67.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14772
114.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10301
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21369
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38799
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32252
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6122
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7060
260.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5016
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3010
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5580
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5559
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4406
75.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7043
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7114
122.9 IPS |
