MacBook Pro (14-inch, 2024)
Geekbench AI Score
5730
Single Precision Score
8824
Half Precision Score
6859
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 28 2024 02:44 PM |
| Views | 3 |
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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
3032
563.8 IPS |
|
|
Image Classification (Q)
|
96% |
2194
409.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2438
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3477
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3946
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18774
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31838
37.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24225
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2432
192.9 IPS |
|
|
Object Detection (HP)
|
97% |
3800
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2660
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
4526
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
7751
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4591
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8806
67.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14177
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9811
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35222
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48542
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39195
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6985
257.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9477
349.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5224
192.9 IPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5159
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5201
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5729
98.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8613
148.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8616
148.9 IPS |
