Mac Studio
Geekbench AI Score
3751
Single Precision Score
5738
Half Precision Score
4735
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EwwwwwFlunky |
| Upload Date | February 06 2025 01:35 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1337
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
2036
378.6 IPS |
|
|
Image Classification (Q)
|
96% |
1493
278.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2676
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11202
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21866
25.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17111
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2349
187.0 IPS |
|
|
Object Detection (Q)
|
94% |
1719
137.0 IPS |
|
|
Face Detection (SP)
|
100% |
3208
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
5408
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3188
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5999
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10910
84.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7435
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22281
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35082
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26334
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4335
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6212
229.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4048
149.5 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3919
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3974
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3413
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3142
54.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4808
83.1 IPS |
