Mac Studio (2025)
Geekbench AI Score
6053
Single Precision Score
9552
Half Precision Score
7329
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | pag46 |
| Upload Date | January 18 2026 12:32 PM |
| Views | 7 |
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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2209
410.7 IPS |
|
|
Image Classification (HP)
|
100% |
3033
564.1 IPS |
|
|
Image Classification (Q)
|
96% |
2186
408.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2436
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3533
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3993
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18502
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
34688
40.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
27243
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2752
218.3 IPS |
|
|
Object Detection (HP)
|
97% |
3972
316.2 IPS |
|
|
Object Detection (Q)
|
94% |
2817
224.5 IPS |
|
|
Face Detection (SP)
|
100% |
5359
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
8878
105.5 IPS |
|
|
Face Detection (Q)
|
100% |
4933
58.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9105
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15698
121.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9878
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31731
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
58361
75.0 IPS |
|
|
Style Transfer (Q)
|
96% |
44182
57.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7076
261.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9353
345.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5489
202.7 IPS |
|
|
Text Classification (SP)
|
100% |
3278
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5692
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5716
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
6714
115.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9892
170.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9884
170.8 IPS |
