MacBook Pro (14-inch, 2024)
Geekbench AI Score
4708
Single Precision Score
7812
Half Precision Score
6266
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | shafnitz |
| Upload Date | March 13 2025 04:06 AM |
| Views | 13 |
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% |
1972
366.6 IPS |
|
|
Image Classification (HP)
|
100% |
3318
617.0 IPS |
|
|
Image Classification (Q)
|
96% |
2257
421.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3310
53.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3617
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10030
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19098
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16449
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2251
178.5 IPS |
|
|
Object Detection (HP)
|
97% |
3769
300.0 IPS |
|
|
Object Detection (Q)
|
94% |
2678
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
3891
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7404
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
4370
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8258
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14626
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10151
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25214
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38311
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31496
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5880
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6823
251.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4834
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5502
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5618
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3927
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6884
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6847
118.3 IPS |
