Mac Studio (2025)
Geekbench AI Score
22874
Single Precision Score
25649
Half Precision Score
23726
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | pag46 |
| Upload Date | January 18 2026 12:30 PM |
| Views | 4 |
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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10776
2.00 KIPS |
|
|
Image Classification (HP)
|
100% |
10859
2.02 KIPS |
|
|
Image Classification (Q)
|
96% |
9731
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23881
387.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24095
390.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
22993
372.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
101724
118.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
110888
129.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
106369
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
9108
722.4 IPS |
|
|
Object Detection (HP)
|
100% |
10318
818.4 IPS |
|
|
Object Detection (Q)
|
92% |
9375
748.3 IPS |
|
|
Face Detection (SP)
|
100% |
40436
480.5 IPS |
|
|
Face Detection (HP)
|
100% |
43367
515.3 IPS |
|
|
Face Detection (Q)
|
100% |
35502
421.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
44414
342.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
48642
374.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
44216
345.4 IPS |
|
|
Style Transfer (SP)
|
100% |
217668
279.8 IPS |
|
|
Style Transfer (HP)
|
100% |
240637
309.3 IPS |
|
|
Style Transfer (Q)
|
96% |
228713
295.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29730
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30737
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26354
973.1 IPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5670
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5697
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4333
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4654
80.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4700
81.2 IPS |
