MacBook Pro (16-inch, 2024)
Geekbench AI Score
5921
Single Precision Score
37704
Half Precision Score
50641
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | lucanaso |
| Upload Date | December 11 2025 09:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2144
398.7 IPS |
|
|
Image Classification (HP)
|
100% |
18632
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
21739
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2502
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23265
377.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
31685
513.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17900
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122093
142.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
230422
270.1 IPS |
|
|
Object Detection (SP)
|
100% |
2623
208.1 IPS |
|
|
Object Detection (HP)
|
100% |
21409
1.70 KIPS |
|
|
Object Detection (Q)
|
91% |
25050
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
5014
59.6 IPS |
|
|
Face Detection (HP)
|
100% |
44491
528.6 IPS |
|
|
Face Detection (Q)
|
100% |
64441
765.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8833
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
106211
818.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
180159
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
31123
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
232970
299.5 IPS |
|
|
Style Transfer (Q)
|
96% |
314534
405.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7198
265.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49830
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80026
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3280
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5700
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5715
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
6466
111.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16390
282.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16706
288.7 IPS |
