MacBook Pro (14-inch, 2024)
Geekbench AI Score
5759
Single Precision Score
8858
Half Precision Score
6842
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 07:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2084
387.5 IPS |
|
|
Image Classification (HP)
|
100% |
3024
562.3 IPS |
|
|
Image Classification (Q)
|
96% |
2184
407.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2442
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3521
57.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3915
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18959
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30833
36.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
23676
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2475
196.4 IPS |
|
|
Object Detection (HP)
|
97% |
3826
304.6 IPS |
|
|
Object Detection (Q)
|
94% |
2649
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
4484
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
7785
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
4564
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8837
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14178
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9923
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35744
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48814
62.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38378
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7007
258.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9550
352.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5215
192.6 IPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5337
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5343
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5729
98.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8624
149.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8669
149.8 IPS |
