Mac Studio M1 Max Mac Studio
Geekbench AI Score
3692
Single Precision Score
5790
Half Precision Score
4706
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | enroscado |
| Upload Date | April 29 2025 12:52 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
2030
377.5 IPS |
|
|
Image Classification (Q)
|
96% |
1503
280.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2243
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2602
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11066
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21116
24.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
17532
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (HP)
|
97% |
2296
182.7 IPS |
|
|
Object Detection (Q)
|
94% |
1710
136.3 IPS |
|
|
Face Detection (SP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
5150
61.2 IPS |
|
|
Face Detection (Q)
|
100% |
3098
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5777
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9903
76.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7058
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22024
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33503
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26997
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4303
158.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5870
216.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4063
150.0 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4027
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4000
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3185
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4750
82.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4745
82.0 IPS |
