MacBook Pro (16-inch, 2024)
Geekbench AI Score
5792
Single Precision Score
37206
Half Precision Score
50153
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Guara |
| Upload Date | September 23 2025 08:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2157
401.2 IPS |
|
|
Image Classification (HP)
|
100% |
17103
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
21523
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23028
373.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
31597
512.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17366
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122537
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230259
269.9 IPS |
|
|
Object Detection (SP)
|
100% |
2574
204.2 IPS |
|
|
Object Detection (HP)
|
100% |
19799
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
25029
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
5067
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
44427
527.9 IPS |
|
|
Face Detection (Q)
|
100% |
62702
745.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8802
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
112475
866.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
174668
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
30484
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
236958
304.6 IPS |
|
|
Style Transfer (Q)
|
96% |
326199
420.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7113
262.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48296
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77517
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
3295
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5738
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5461
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5959
102.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16215
279.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16990
293.6 IPS |
