Mac Studio (2025)
Geekbench AI Score
6059
Single Precision Score
9617
Half Precision Score
7390
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Pessfyr |
| Upload Date | January 05 2026 08:35 PM |
| Views | 6 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2194
408.1 IPS |
|
|
Image Classification (HP)
|
100% |
3125
581.2 IPS |
|
|
Image Classification (Q)
|
96% |
2234
417.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2492
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3643
59.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3991
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18503
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
35055
40.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
27262
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
2726
216.2 IPS |
|
|
Object Detection (HP)
|
97% |
3971
316.2 IPS |
|
|
Object Detection (Q)
|
94% |
2815
224.4 IPS |
|
|
Face Detection (SP)
|
100% |
5359
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
8732
103.8 IPS |
|
|
Face Detection (Q)
|
100% |
4904
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9057
69.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15173
117.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10386
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31577
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
56843
73.1 IPS |
|
|
Style Transfer (Q)
|
96% |
43656
56.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7126
263.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9826
362.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5548
204.8 IPS |
|
|
Text Classification (SP)
|
100% |
3308
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5801
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5767
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
6694
115.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9955
172.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9983
172.5 IPS |
