MacBook Pro (14-inch, 2024)
Geekbench AI Score
4658
Single Precision Score
7755
Half Precision Score
6194
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | zxhsean |
| Upload Date | December 18 2024 09:24 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1959
364.4 IPS |
|
|
Image Classification (HP)
|
100% |
3292
612.3 IPS |
|
|
Image Classification (Q)
|
96% |
2283
426.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3353
54.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3607
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9946
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19048
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16400
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2229
176.8 IPS |
|
|
Object Detection (HP)
|
97% |
3743
298.0 IPS |
|
|
Object Detection (Q)
|
94% |
2670
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
3801
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
7156
85.0 IPS |
|
|
Face Detection (Q)
|
100% |
4265
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8241
63.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14515
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10094
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25065
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38232
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31455
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5822
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6891
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4841
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
2904
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5424
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5212
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3907
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6743
116.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6755
116.7 IPS |
