MacBook Pro (14-inch, 2024)
Geekbench AI Score
4750
Single Precision Score
7843
Half Precision Score
6283
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | berkctezc |
| Upload Date | February 05 2025 05:31 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1999
371.7 IPS |
|
|
Image Classification (HP)
|
100% |
3276
609.2 IPS |
|
|
Image Classification (Q)
|
96% |
2306
430.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3348
54.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3642
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10064
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19071
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16454
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2259
179.2 IPS |
|
|
Object Detection (HP)
|
97% |
3812
303.4 IPS |
|
|
Object Detection (Q)
|
94% |
2691
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
3869
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
7391
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4318
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8282
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14614
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10179
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25185
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38446
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31591
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5865
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6827
252.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4844
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
3180
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5656
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5563
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3950
68.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6891
119.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6895
119.2 IPS |
