Mac Studio M1 Max Mac Studio
Geekbench AI Score
12089
Single Precision Score
13473
Half Precision Score
12690
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | enroscado |
| Upload Date | April 29 2025 12:55 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5005
930.7 IPS |
|
|
Image Classification (HP)
|
100% |
5085
945.6 IPS |
|
|
Image Classification (Q)
|
96% |
4711
879.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
11666
189.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12006
194.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11391
184.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
57018
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
60459
70.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
57636
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
5110
405.3 IPS |
|
|
Object Detection (HP)
|
100% |
5308
421.0 IPS |
|
|
Object Detection (Q)
|
92% |
4982
397.7 IPS |
|
|
Face Detection (SP)
|
100% |
21093
250.6 IPS |
|
|
Face Detection (HP)
|
100% |
22066
262.2 IPS |
|
|
Face Detection (Q)
|
100% |
19268
228.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26365
203.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
27483
211.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
25088
196.2 IPS |
|
|
Style Transfer (SP)
|
100% |
96286
123.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120193
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
117169
151.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16790
620.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16851
622.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15285
564.4 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4025
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4086
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1912
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2035
35.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1988
34.3 IPS |
