MacBook Pro (14-inch, 2024)
Geekbench AI Score
8983
Single Precision Score
11147
Half Precision Score
9990
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4613
857.9 IPS |
|
|
Image Classification (HP)
|
100% |
4966
923.5 IPS |
|
|
Image Classification (Q)
|
97% |
4375
816.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4987
80.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7058
114.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7600
123.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29749
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32091
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30562
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5005
397.0 IPS |
|
|
Object Detection (HP)
|
100% |
5440
431.5 IPS |
|
|
Object Detection (Q)
|
91% |
4667
372.9 IPS |
|
|
Face Detection (SP)
|
100% |
13015
154.6 IPS |
|
|
Face Detection (HP)
|
100% |
16598
197.2 IPS |
|
|
Face Detection (Q)
|
100% |
12050
143.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21368
164.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23619
182.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
20393
159.4 IPS |
|
|
Style Transfer (SP)
|
100% |
58871
75.7 IPS |
|
|
Style Transfer (HP)
|
100% |
72440
93.1 IPS |
|
|
Style Transfer (Q)
|
96% |
67785
87.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12267
453.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13727
506.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10724
396.0 IPS |
|
|
Text Classification (SP)
|
100% |
3005
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5592
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5417
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1656
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2222
38.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2158
37.3 IPS |
