Mac Studio
Geekbench AI Score
10932
Single Precision Score
12139
Half Precision Score
9958
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | over_time_ |
| Upload Date | May 24 2025 05:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4651
865.0 IPS |
|
|
Image Classification (HP)
|
100% |
4570
849.9 IPS |
|
|
Image Classification (Q)
|
99% |
4533
845.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
10173
164.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9909
160.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
9885
160.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
47295
55.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
50951
59.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
46868
54.9 IPS |
|
|
Object Detection (SP)
|
100% |
4720
374.4 IPS |
|
|
Object Detection (HP)
|
100% |
4887
387.6 IPS |
|
|
Object Detection (Q)
|
92% |
4530
361.6 IPS |
|
|
Face Detection (SP)
|
100% |
18349
218.0 IPS |
|
|
Face Detection (HP)
|
100% |
18992
225.7 IPS |
|
|
Face Detection (Q)
|
100% |
16058
190.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23405
180.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24740
190.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
5463
42.2 IPS |
|
|
Style Transfer (SP)
|
100% |
80399
103.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96913
124.6 IPS |
|
|
Style Transfer (Q)
|
100% |
97103
124.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15999
590.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16219
598.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13971
517.6 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3960
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4086
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1838
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2107
36.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2074
35.8 IPS |
