Mac Studio (2025)
Geekbench AI Score
6013
Single Precision Score
9577
Half Precision Score
7348
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MarkCX |
| Upload Date | March 05 2026 04:24 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac Studio (2025) |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2204
409.9 IPS |
|
|
Image Classification (HP)
|
100% |
3036
564.7 IPS |
|
|
Image Classification (Q)
|
96% |
2216
413.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2511
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3697
59.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3959
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18302
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34638
40.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
27237
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2680
212.6 IPS |
|
|
Object Detection (HP)
|
97% |
3963
315.5 IPS |
|
|
Object Detection (Q)
|
94% |
2799
223.1 IPS |
|
|
Face Detection (SP)
|
100% |
5241
62.3 IPS |
|
|
Face Detection (HP)
|
100% |
8756
104.0 IPS |
|
|
Face Detection (Q)
|
100% |
4875
57.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9051
69.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15292
118.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10306
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31685
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
57850
74.4 IPS |
|
|
Style Transfer (Q)
|
96% |
44069
56.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7092
261.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9646
356.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5469
201.9 IPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5666
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5699
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
6585
113.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9955
172.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9952
172.0 IPS |
