MacBook Pro (14-inch, 2024)
Geekbench AI Score
5787
Single Precision Score
8931
Half Precision Score
6887
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 12 2025 01:00 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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2084
387.6 IPS |
|
|
Image Classification (HP)
|
100% |
3048
566.8 IPS |
|
|
Image Classification (Q)
|
96% |
2212
413.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3562
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3911
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18983
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30878
36.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
23938
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
97% |
3822
304.3 IPS |
|
|
Object Detection (Q)
|
94% |
2669
212.7 IPS |
|
|
Face Detection (SP)
|
100% |
4526
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
7848
93.3 IPS |
|
|
Face Detection (Q)
|
100% |
4671
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8850
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14402
111.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10035
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35227
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
50042
64.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38711
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7042
260.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9538
352.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5260
194.2 IPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5276
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5145
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5808
100.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8855
153.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8855
153.0 IPS |
