MacBook Pro (14-inch, 2024)
Geekbench AI Score
5774
Single Precision Score
8913
Half Precision Score
6854
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ppichler |
| Upload Date | February 02 2025 04:13 PM |
| Views | 28 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
3038
564.9 IPS |
|
|
Image Classification (Q)
|
96% |
2190
409.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2513
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3568
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3911
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18820
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31833
37.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
23783
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.3 IPS |
|
|
Object Detection (HP)
|
97% |
3824
304.4 IPS |
|
|
Object Detection (Q)
|
94% |
2665
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
4548
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
7956
94.5 IPS |
|
|
Face Detection (Q)
|
100% |
4599
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8829
68.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14248
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10016
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35202
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48286
62.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38341
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7073
261.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9532
352.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5250
193.9 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5195
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5177
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5784
99.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8852
153.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8791
151.9 IPS |
