MacBook Pro (14-inch, 2024)
Geekbench AI Score
5510
Single Precision Score
8680
Half Precision Score
6708
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | February 25 2025 07:25 AM |
| Views | 4 |
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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.22 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2009
373.5 IPS |
|
|
Image Classification (HP)
|
100% |
2940
546.8 IPS |
|
|
Image Classification (Q)
|
96% |
2054
383.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2384
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3350
54.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3686
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17970
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31242
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
24043
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2350
186.4 IPS |
|
|
Object Detection (HP)
|
97% |
3638
289.6 IPS |
|
|
Object Detection (Q)
|
94% |
2576
205.3 IPS |
|
|
Face Detection (SP)
|
100% |
4247
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7315
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
4312
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8408
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14524
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9778
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
34398
44.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48915
62.9 IPS |
|
|
Style Transfer (Q)
|
96% |
37831
48.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6850
252.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9311
343.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5506
203.3 IPS |
|
|
Text Classification (SP)
|
100% |
2713
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5121
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5068
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
5591
96.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8761
151.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8841
152.8 IPS |
