Mac Studio
Geekbench AI Score
9066
Single Precision Score
9012
Half Precision Score
2817
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 28 2024 09:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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% |
4059
754.8 IPS |
|
|
Image Classification (HP)
|
100% |
4152
772.2 IPS |
|
|
Image Classification (Q)
|
97% |
3094
577.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7967
129.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8036
130.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7660
124.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
46667
54.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
48841
57.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
42754
50.1 IPS |
|
|
Object Detection (SP)
|
100% |
4373
346.9 IPS |
|
|
Object Detection (HP)
|
100% |
4553
361.1 IPS |
|
|
Object Detection (Q)
|
92% |
3569
284.9 IPS |
|
|
Face Detection (SP)
|
100% |
15765
187.3 IPS |
|
|
Face Detection (HP)
|
100% |
16176
192.2 IPS |
|
|
Face Detection (Q)
|
100% |
11295
134.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23019
177.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23887
184.0 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
148.6 IPS |
|
|
Style Transfer (SP)
|
100% |
79608
102.3 IPS |
|
|
Style Transfer (HP)
|
100% |
94069
120.9 IPS |
|
|
Style Transfer (Q)
|
96% |
82298
106.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15524
573.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15939
588.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11888
439.0 IPS |
|
|
Text Classification (SP)
|
100% |
1072
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
734
979.2 IPS |
|
|
Text Classification (Q)
|
93% |
726
974.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1120
19.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1087
18.8 IPS |
