MacBook Pro (14-inch, 2024)
Geekbench AI Score
4750
Single Precision Score
7861
Half Precision Score
6331
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | xiaoku |
| Upload Date | March 26 2025 10:55 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C103) |
| 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% |
2040
379.4 IPS |
|
|
Image Classification (HP)
|
100% |
3317
616.9 IPS |
|
|
Image Classification (Q)
|
96% |
2328
434.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2190
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3419
55.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3746
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10065
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18987
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16551
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2285
181.2 IPS |
|
|
Object Detection (HP)
|
97% |
3794
302.1 IPS |
|
|
Object Detection (Q)
|
94% |
2736
218.1 IPS |
|
|
Face Detection (SP)
|
100% |
3911
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
7664
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
4356
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8305
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14655
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10233
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25319
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38388
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31833
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5896
217.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6657
245.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4804
177.4 IPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5598
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5611
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3933
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6869
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6858
118.5 IPS |
