MacBook Pro (14-inch, 2024)
Geekbench AI Score
5692
Single Precision Score
8877
Half Precision Score
6820
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jensd |
| Upload Date | March 10 2025 02:16 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
2065
384.1 IPS |
|
|
Image Classification (HP)
|
100% |
3041
565.6 IPS |
|
|
Image Classification (Q)
|
96% |
2178
406.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2492
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3632
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3907
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18819
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31818
37.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
23718
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2430
192.7 IPS |
|
|
Object Detection (HP)
|
97% |
3805
302.9 IPS |
|
|
Object Detection (Q)
|
94% |
2650
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
4437
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
7632
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
4578
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8620
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14095
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10002
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
34947
44.9 IPS |
|
|
Style Transfer (HP)
|
100% |
50293
64.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38867
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6953
256.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9531
351.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5218
192.7 IPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5137
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5113
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5566
95.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8579
148.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8573
148.1 IPS |
