Mac Studio
Geekbench AI Score
10040
Single Precision Score
11033
Half Precision Score
9822
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EwwwwwFlunky |
| Upload Date | February 06 2025 01:32 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4461
829.6 IPS |
|
|
Image Classification (HP)
|
100% |
4616
858.5 IPS |
|
|
Image Classification (Q)
|
97% |
3997
745.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8728
141.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8603
139.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8616
139.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
47334
55.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
49409
57.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
45693
53.6 IPS |
|
|
Object Detection (SP)
|
100% |
4334
343.8 IPS |
|
|
Object Detection (HP)
|
100% |
4891
387.9 IPS |
|
|
Object Detection (Q)
|
91% |
4193
335.1 IPS |
|
|
Face Detection (SP)
|
100% |
18457
219.3 IPS |
|
|
Face Detection (HP)
|
100% |
18944
225.1 IPS |
|
|
Face Detection (Q)
|
100% |
13578
161.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
23813
183.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24452
188.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
20751
162.2 IPS |
|
|
Style Transfer (SP)
|
100% |
80482
103.5 IPS |
|
|
Style Transfer (HP)
|
100% |
95091
122.2 IPS |
|
|
Style Transfer (Q)
|
96% |
89628
115.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15892
586.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15885
586.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12691
468.6 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3928
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3898
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1014
17.5 IPS |
