MacBook Pro (14-inch, 2024)
Geekbench AI Score
4737
Single Precision Score
37402
Half Precision Score
53263
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | lusafe |
| Upload Date | March 29 2025 01:22 AM |
| Views | 8 |
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% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
18640
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
27389
5.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2191
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21935
355.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30501
494.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9970
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123204
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232541
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2289
181.6 IPS |
|
|
Object Detection (HP)
|
100% |
19540
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
26705
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3938
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
43505
516.9 IPS |
|
|
Face Detection (Q)
|
100% |
65852
782.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8382
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100074
771.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
170610
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25250
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
234782
301.8 IPS |
|
|
Style Transfer (Q)
|
96% |
299471
386.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5773
213.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51073
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88065
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
6426
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6625
8.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3929
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16227
279.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18046
311.8 IPS |
