Mac Studio (2025)
Geekbench AI Score
6207
Single Precision Score
10081
Half Precision Score
7662
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mtx_1 |
| Upload Date | April 15 2026 05:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.5 (Build 25F5042g) |
| 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% |
2181
405.7 IPS |
|
|
Image Classification (HP)
|
100% |
3013
560.3 IPS |
|
|
Image Classification (Q)
|
96% |
2193
409.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2510
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3637
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3985
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16285
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
34744
40.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
27212
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2828
224.4 IPS |
|
|
Object Detection (HP)
|
97% |
3968
315.9 IPS |
|
|
Object Detection (Q)
|
94% |
2811
224.0 IPS |
|
|
Face Detection (SP)
|
100% |
5620
66.8 IPS |
|
|
Face Detection (HP)
|
100% |
8889
105.6 IPS |
|
|
Face Detection (Q)
|
100% |
4930
58.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9220
71.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15676
121.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9855
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30882
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
59185
76.1 IPS |
|
|
Style Transfer (Q)
|
96% |
44633
57.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5554
205.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9789
361.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5439
200.8 IPS |
|
|
Text Classification (SP)
|
100% |
5872
7.84 KIPS |
|
|
Text Classification (HP)
|
99% |
9077
12.1 KIPS |
|
|
Text Classification (Q)
|
93% |
9001
12.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
6455
111.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9793
169.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9837
170.0 IPS |
