MacBook Pro (14-inch, 2024)
Geekbench AI Score
9117
Single Precision Score
11089
Half Precision Score
9925
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 28 2024 04:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
4522
840.9 IPS |
|
|
Image Classification (HP)
|
100% |
4839
899.9 IPS |
|
|
Image Classification (Q)
|
97% |
4213
786.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4989
80.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7063
114.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7646
123.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
29929
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32116
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30541
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4924
390.6 IPS |
|
|
Object Detection (HP)
|
100% |
5346
424.0 IPS |
|
|
Object Detection (Q)
|
91% |
4639
370.7 IPS |
|
|
Face Detection (SP)
|
100% |
12689
150.8 IPS |
|
|
Face Detection (HP)
|
100% |
16779
199.4 IPS |
|
|
Face Detection (Q)
|
100% |
12397
147.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21433
165.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23690
182.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
20226
158.1 IPS |
|
|
Style Transfer (SP)
|
100% |
58638
75.4 IPS |
|
|
Style Transfer (HP)
|
100% |
71881
92.4 IPS |
|
|
Style Transfer (Q)
|
96% |
67680
87.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12123
447.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14164
523.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10699
395.1 IPS |
|
|
Text Classification (SP)
|
100% |
3031
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5442
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5326
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2037
35.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2176
37.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2103
36.3 IPS |
