MacBook Pro (14-inch, 2024)
Geekbench AI Score
5358
Single Precision Score
37779
Half Precision Score
50213
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dengduck |
| Upload Date | May 07 2025 01:10 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2054
382.1 IPS |
|
|
Image Classification (HP)
|
100% |
17732
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
23343
4.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23413
379.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32777
531.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17096
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122865
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
229986
269.6 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
20435
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
24358
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4609
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
45902
545.4 IPS |
|
|
Face Detection (Q)
|
100% |
59929
712.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8615
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
112044
863.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
176610
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25434
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
239070
307.3 IPS |
|
|
Style Transfer (Q)
|
96% |
303826
392.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5984
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48097
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78923
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2892
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5802
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5406
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5620
96.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16560
285.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17328
299.4 IPS |
