MacBook Pro (16-inch, 2024)
Geekbench AI Score
5758
Single Precision Score
37339
Half Precision Score
50281
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | zmafreak |
| Upload Date | September 28 2025 06:32 AM |
| Views | 4 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2155
400.7 IPS |
|
|
Image Classification (HP)
|
100% |
17729
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
21985
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2303
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23670
383.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32538
527.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17391
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122634
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230266
269.9 IPS |
|
|
Object Detection (SP)
|
100% |
2600
206.2 IPS |
|
|
Object Detection (HP)
|
100% |
19633
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23980
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
5093
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
44461
528.3 IPS |
|
|
Face Detection (Q)
|
100% |
63271
751.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8784
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
107782
830.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
180067
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
30921
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
239156
307.4 IPS |
|
|
Style Transfer (Q)
|
96% |
329101
424.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6886
254.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48952
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78045
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3170
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5613
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5469
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
5918
101.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16557
285.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16340
282.4 IPS |
