Mac Studio (2025)
Geekbench AI Score
23905
Single Precision Score
26449
Half Precision Score
24738
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Pessfyr |
| Upload Date | January 05 2026 08:38 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10903
2.03 KIPS |
|
|
Image Classification (HP)
|
100% |
11008
2.05 KIPS |
|
|
Image Classification (Q)
|
96% |
9957
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23680
383.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24446
396.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23173
375.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
102157
119.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
111352
129.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
106664
124.9 IPS |
|
|
Object Detection (SP)
|
100% |
9143
725.2 IPS |
|
|
Object Detection (HP)
|
100% |
9885
784.1 IPS |
|
|
Object Detection (Q)
|
92% |
9642
769.6 IPS |
|
|
Face Detection (SP)
|
100% |
39856
473.6 IPS |
|
|
Face Detection (HP)
|
100% |
43350
515.1 IPS |
|
|
Face Detection (Q)
|
100% |
35993
427.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
44567
343.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
48083
370.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
43565
340.3 IPS |
|
|
Style Transfer (SP)
|
100% |
219502
282.2 IPS |
|
|
Style Transfer (HP)
|
100% |
235400
302.6 IPS |
|
|
Style Transfer (Q)
|
96% |
234313
302.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30176
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30797
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26088
963.3 IPS |
|
|
Text Classification (SP)
|
100% |
3281
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5592
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5638
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
6547
112.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6694
115.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6695
115.7 IPS |
