MacBook Pro (14-inch, 2024)
Geekbench AI Score
9232
Single Precision Score
11096
Half Precision Score
10048
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | shafnitz |
| Upload Date | March 13 2025 04:13 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4677
869.8 IPS |
|
|
Image Classification (HP)
|
100% |
5046
938.4 IPS |
|
|
Image Classification (Q)
|
97% |
4373
816.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4976
80.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6917
112.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7587
123.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29790
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32003
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
30569
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5084
403.3 IPS |
|
|
Object Detection (HP)
|
100% |
5501
436.4 IPS |
|
|
Object Detection (Q)
|
91% |
4654
371.9 IPS |
|
|
Face Detection (SP)
|
100% |
12967
154.1 IPS |
|
|
Face Detection (HP)
|
100% |
16740
198.9 IPS |
|
|
Face Detection (Q)
|
100% |
12436
147.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21522
165.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23711
182.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
20362
159.2 IPS |
|
|
Style Transfer (SP)
|
100% |
58579
75.3 IPS |
|
|
Style Transfer (HP)
|
100% |
72192
92.8 IPS |
|
|
Style Transfer (Q)
|
96% |
67808
87.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12597
465.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13726
506.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10841
400.3 IPS |
|
|
Text Classification (SP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5534
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5633
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2079
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2117
36.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2121
36.7 IPS |
