MacBook Pro (14-inch, 2024)
Geekbench AI Score
5766
Single Precision Score
37048
Half Precision Score
49919
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Shougeki |
| Upload Date | January 24 2025 12:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
18078
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
22360
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2458
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23246
376.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32250
522.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18827
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123429
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231355
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.3 IPS |
|
|
Object Detection (HP)
|
100% |
20610
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
23842
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4575
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
44599
529.9 IPS |
|
|
Face Detection (Q)
|
100% |
60081
713.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8800
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
112008
863.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
181480
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
35151
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
237601
305.4 IPS |
|
|
Style Transfer (Q)
|
96% |
304436
392.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7017
259.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47342
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80268
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
4833
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5495
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5793
99.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16780
289.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16501
285.2 IPS |
