M4 Max Studio Mac16,9
Geekbench AI Score
23948
Single Precision Score
26559
Half Precision Score
24108
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Morac |
| Upload Date | October 18 2025 12:49 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
11314
2.10 KIPS |
|
|
Image Classification (HP)
|
100% |
10866
2.02 KIPS |
|
|
Image Classification (Q)
|
96% |
9930
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23694
384.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24774
401.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23464
380.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
102967
120.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
111226
129.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
106830
125.1 IPS |
|
|
Object Detection (SP)
|
100% |
9217
731.1 IPS |
|
|
Object Detection (HP)
|
100% |
10287
816.0 IPS |
|
|
Object Detection (Q)
|
92% |
9621
767.9 IPS |
|
|
Face Detection (SP)
|
100% |
40960
486.7 IPS |
|
|
Face Detection (HP)
|
100% |
44770
532.0 IPS |
|
|
Face Detection (Q)
|
100% |
37507
445.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
45000
346.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47548
366.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
44086
344.4 IPS |
|
|
Style Transfer (SP)
|
100% |
220648
283.6 IPS |
|
|
Style Transfer (HP)
|
100% |
238019
306.0 IPS |
|
|
Style Transfer (Q)
|
96% |
231291
298.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30424
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31434
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26628
983.2 IPS |
|
|
Text Classification (SP)
|
100% |
3260
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5695
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5646
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
6048
104.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6253
107.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4818
83.3 IPS |
