Mac Studio (2025)
Geekbench AI Score
5663
Single Precision Score
9542
Half Precision Score
7315
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 02 2026 10:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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% |
2141
398.2 IPS |
|
|
Image Classification (HP)
|
100% |
3196
594.4 IPS |
|
|
Image Classification (Q)
|
96% |
2291
427.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2470
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3748
60.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4014
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18093
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
33386
39.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25409
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (HP)
|
97% |
4021
320.2 IPS |
|
|
Object Detection (Q)
|
94% |
2790
222.4 IPS |
|
|
Face Detection (SP)
|
100% |
4938
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
8264
98.2 IPS |
|
|
Face Detection (Q)
|
100% |
4828
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8911
68.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15482
119.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10889
85.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26487
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54505
70.1 IPS |
|
|
Style Transfer (Q)
|
96% |
41225
53.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6251
230.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10496
387.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5902
217.9 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5446
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5410
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
6359
109.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9770
168.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9725
168.1 IPS |
