MacBook Pro (14-inch, 2024)
Geekbench AI Score
5371
Single Precision Score
38536
Half Precision Score
50496
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | melik_alexey |
| Upload Date | April 07 2025 05:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2049
381.1 IPS |
|
|
Image Classification (HP)
|
100% |
18822
3.50 KIPS |
|
|
Image Classification (Q)
|
97% |
22633
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22999
372.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31968
518.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16864
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122094
142.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
227994
267.2 IPS |
|
|
Object Detection (SP)
|
100% |
2393
189.8 IPS |
|
|
Object Detection (HP)
|
100% |
20216
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
23963
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4600
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
45897
545.4 IPS |
|
|
Face Detection (Q)
|
100% |
60195
715.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8618
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
112925
870.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
178551
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
26162
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
236341
303.8 IPS |
|
|
Style Transfer (Q)
|
96% |
299780
386.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5915
218.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47496
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80288
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6969
9.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6304
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5716
98.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16673
287.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16721
289.0 IPS |
