MacBook Pro (16-inch, 2024)
Geekbench AI Score
5777
Single Precision Score
37399
Half Precision Score
50459
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 10 2025 01:24 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2159
401.5 IPS |
|
|
Image Classification (HP)
|
100% |
18121
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
21738
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23382
379.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32746
530.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17535
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122483
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231234
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2569
203.8 IPS |
|
|
Object Detection (HP)
|
100% |
19944
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24831
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
5094
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
44707
531.2 IPS |
|
|
Face Detection (Q)
|
100% |
63265
751.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8802
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
105644
813.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
177542
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
30292
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
237904
305.8 IPS |
|
|
Style Transfer (Q)
|
96% |
326964
421.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6919
255.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48923
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79256
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5626
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5452
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
6024
103.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16725
288.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16498
285.1 IPS |
