MacBook Pro (14-inch, 2024)
Geekbench AI Score
4723
Single Precision Score
36934
Half Precision Score
52207
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jng27 |
| Upload Date | March 15 2025 02:27 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
2022
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
19211
3.57 KIPS |
|
|
Image Classification (Q)
|
97% |
25275
4.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22018
356.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30517
494.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10031
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
124055
144.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232194
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2279
180.8 IPS |
|
|
Object Detection (HP)
|
100% |
18960
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26445
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3925
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
41855
497.3 IPS |
|
|
Face Detection (Q)
|
100% |
61911
735.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8268
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99678
768.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
171523
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24675
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
233523
300.2 IPS |
|
|
Style Transfer (Q)
|
96% |
298774
385.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5847
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49042
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84414
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6021
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
6585
8.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3909
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16507
284.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18009
311.2 IPS |
