MacBook Pro (14-inch, 2024)
Geekbench AI Score
9219
Single Precision Score
10709
Half Precision Score
10042
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4618
858.7 IPS |
|
|
Image Classification (HP)
|
100% |
4987
927.4 IPS |
|
|
Image Classification (Q)
|
97% |
4371
815.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5030
81.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7103
115.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7590
123.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29736
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32065
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30559
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5037
399.6 IPS |
|
|
Object Detection (HP)
|
100% |
5418
429.8 IPS |
|
|
Object Detection (Q)
|
91% |
4654
371.9 IPS |
|
|
Face Detection (SP)
|
100% |
12968
154.1 IPS |
|
|
Face Detection (HP)
|
100% |
16674
198.1 IPS |
|
|
Face Detection (Q)
|
100% |
12399
147.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21455
165.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23622
182.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
20468
160.0 IPS |
|
|
Style Transfer (SP)
|
100% |
58847
75.6 IPS |
|
|
Style Transfer (HP)
|
100% |
72033
92.6 IPS |
|
|
Style Transfer (Q)
|
96% |
67959
87.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12452
459.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13719
506.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10640
392.9 IPS |
|
|
Text Classification (SP)
|
100% |
3006
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5565
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5428
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2080
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1489
25.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2219
38.4 IPS |
