Mac Studio M4 Max 16 core Mac16,9
Geekbench AI Score
23186
Single Precision Score
25936
Half Precision Score
23522
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | whplein |
| Upload Date | December 10 2025 01:52 AM |
| Views | 7 |
| Notes | Mac16,9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10344
1.92 KIPS |
|
|
Image Classification (HP)
|
100% |
10472
1.95 KIPS |
|
|
Image Classification (Q)
|
96% |
9403
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23267
377.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24031
389.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
22824
370.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
101989
119.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
111117
129.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
106263
124.5 IPS |
|
|
Object Detection (SP)
|
100% |
9030
716.2 IPS |
|
|
Object Detection (HP)
|
100% |
9919
786.8 IPS |
|
|
Object Detection (Q)
|
92% |
9371
748.0 IPS |
|
|
Face Detection (SP)
|
100% |
39415
468.3 IPS |
|
|
Face Detection (HP)
|
100% |
43523
517.1 IPS |
|
|
Face Detection (Q)
|
100% |
35481
421.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
44152
340.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
46897
361.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
43003
335.9 IPS |
|
|
Style Transfer (SP)
|
100% |
218593
281.0 IPS |
|
|
Style Transfer (HP)
|
100% |
238875
307.1 IPS |
|
|
Style Transfer (Q)
|
96% |
228058
294.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29626
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30497
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26499
978.5 IPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5703
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5594
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5524
95.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5858
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4704
81.3 IPS |
