Mac Studio
Geekbench AI Score
11095
Single Precision Score
12304
Half Precision Score
11273
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | batmunkh |
| Upload Date | October 04 2025 06:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4550
846.2 IPS |
|
|
Image Classification (HP)
|
100% |
4643
863.4 IPS |
|
|
Image Classification (Q)
|
96% |
4235
790.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
10172
164.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9956
161.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9551
154.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
47387
55.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
50798
59.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
48908
57.3 IPS |
|
|
Object Detection (SP)
|
100% |
4648
368.7 IPS |
|
|
Object Detection (HP)
|
100% |
4956
393.1 IPS |
|
|
Object Detection (Q)
|
92% |
4581
365.6 IPS |
|
|
Face Detection (SP)
|
100% |
18680
222.0 IPS |
|
|
Face Detection (HP)
|
100% |
18864
224.1 IPS |
|
|
Face Detection (Q)
|
100% |
16499
196.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23860
183.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25002
192.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
22112
172.7 IPS |
|
|
Style Transfer (SP)
|
100% |
80045
102.9 IPS |
|
|
Style Transfer (HP)
|
100% |
96835
124.5 IPS |
|
|
Style Transfer (Q)
|
96% |
94587
122.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16046
592.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16743
618.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14551
537.3 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4092
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4065
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2101
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2185
37.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1793
31.0 IPS |
