MacBook Pro (14-inch, 2024)
Geekbench AI Score
4847
Single Precision Score
36979
Half Precision Score
52527
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rjmaybin |
| Upload Date | April 07 2025 10:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
2087
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
17369
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
25338
4.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2257
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22076
357.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30483
494.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9982
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122623
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230586
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2452
194.5 IPS |
|
|
Object Detection (HP)
|
100% |
19044
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
27346
2.19 KIPS |
|
|
Face Detection (SP)
|
100% |
4246
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
43900
521.6 IPS |
|
|
Face Detection (Q)
|
100% |
63932
759.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8667
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99968
770.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
168670
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21457
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233790
300.5 IPS |
|
|
Style Transfer (Q)
|
96% |
299964
387.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6050
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49978
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88362
3.26 KIPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6233
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6266
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4429
76.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16710
287.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18333
316.8 IPS |
