Mac Studio
Geekbench AI Score
9115
Single Precision Score
8942
Half Precision Score
7795
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | nostah |
| Upload Date | August 27 2024 12:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4150
771.8 IPS |
|
|
Image Classification (HP)
|
100% |
4242
789.0 IPS |
|
|
Image Classification (Q)
|
99% |
3676
685.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
8095
131.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8083
131.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
7689
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
46620
54.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
48834
57.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
42752
50.1 IPS |
|
|
Object Detection (SP)
|
100% |
4352
345.2 IPS |
|
|
Object Detection (HP)
|
100% |
4653
369.0 IPS |
|
|
Object Detection (Q)
|
92% |
3588
286.4 IPS |
|
|
Face Detection (SP)
|
100% |
15766
187.3 IPS |
|
|
Face Detection (HP)
|
100% |
16186
192.3 IPS |
|
|
Face Detection (Q)
|
100% |
11291
134.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23411
180.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24708
190.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
24767
191.5 IPS |
|
|
Style Transfer (SP)
|
100% |
78874
101.4 IPS |
|
|
Style Transfer (HP)
|
100% |
93709
120.5 IPS |
|
|
Style Transfer (Q)
|
100% |
87581
112.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15886
586.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16170
597.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11856
439.3 IPS |
|
|
Text Classification (SP)
|
100% |
1083
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
603
805.3 IPS |
|
|
Text Classification (Q)
|
93% |
601
807.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1149
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1096
18.9 IPS |
