Mac Studio (2025)
Geekbench AI Score
5742
Single Precision Score
9369
Half Precision Score
7307
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | fillmore |
| Upload Date | January 20 2026 02:20 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac Studio (2025) |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.49 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2132
396.6 IPS |
|
|
Image Classification (HP)
|
100% |
3160
587.7 IPS |
|
|
Image Classification (Q)
|
96% |
2221
414.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2452
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3609
58.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3923
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17076
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34358
40.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
26429
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
2562
203.2 IPS |
|
|
Object Detection (HP)
|
97% |
3903
310.7 IPS |
|
|
Object Detection (Q)
|
94% |
2766
220.5 IPS |
|
|
Face Detection (SP)
|
100% |
4919
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
8474
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4833
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8774
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14872
115.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10608
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30664
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
57745
74.2 IPS |
|
|
Style Transfer (Q)
|
96% |
43713
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6895
254.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9329
344.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6003
221.7 IPS |
|
|
Text Classification (SP)
|
100% |
3221
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5673
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5597
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5802
99.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8854
153.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9048
156.4 IPS |
