Stein`s MacBook Pro MAX M4 (16-inch, 2024) MacBook Pro (16-inch, 2024)
Geekbench AI Score
23541
Single Precision Score
26322
Half Precision Score
24435
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Zztony |
| Upload Date | December 05 2025 05:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10482
1.95 KIPS |
|
|
Image Classification (HP)
|
100% |
10812
2.01 KIPS |
|
|
Image Classification (Q)
|
96% |
9589
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23494
380.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24649
399.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
22981
372.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
101787
118.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
111208
129.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
106202
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
9031
716.4 IPS |
|
|
Object Detection (HP)
|
100% |
9881
783.7 IPS |
|
|
Object Detection (Q)
|
92% |
9359
747.0 IPS |
|
|
Face Detection (SP)
|
100% |
39416
468.4 IPS |
|
|
Face Detection (HP)
|
100% |
43109
512.2 IPS |
|
|
Face Detection (Q)
|
100% |
35500
421.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
44167
340.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
46815
360.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
43150
337.0 IPS |
|
|
Style Transfer (SP)
|
100% |
218054
280.3 IPS |
|
|
Style Transfer (HP)
|
100% |
235935
303.3 IPS |
|
|
Style Transfer (Q)
|
96% |
227981
294.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29553
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30646
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26184
966.9 IPS |
|
|
Text Classification (SP)
|
100% |
3221
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5633
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5646
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
6391
110.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6634
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6712
116.0 IPS |
