Mac Studio
Geekbench AI Score
11771
Single Precision Score
12736
Half Precision Score
9615
Quantized Score
Geekbench AI 1.0.0 Pro for macOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | August 16 2024 04:36 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| Model | Mac Studio |
| Model ID | Mac13,2 |
| Motherboard | Mac13,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Ultra |
| Topology | 1 Processor, 20 Cores |
| Identifier | Apple M1 Ultra |
| Base Frequency | 3.14 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4591
853.7 IPS |
|
|
Image Classification (HP)
|
100% |
4564
848.8 IPS |
|
|
Image Classification (Q)
|
99% |
3901
727.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
11952
193.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12063
195.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
11460
185.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
80830
94.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
84104
98.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
71183
83.4 IPS |
|
|
Object Detection (SP)
|
100% |
3903
309.6 IPS |
|
|
Object Detection (HP)
|
100% |
4153
329.4 IPS |
|
|
Object Detection (Q)
|
91% |
3526
281.8 IPS |
|
|
Face Detection (SP)
|
100% |
21472
255.1 IPS |
|
|
Face Detection (HP)
|
100% |
21894
260.1 IPS |
|
|
Face Detection (Q)
|
100% |
11828
140.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27209
209.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
27370
210.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
8086
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
134950
173.5 IPS |
|
|
Style Transfer (HP)
|
100% |
147929
190.2 IPS |
|
|
Style Transfer (Q)
|
100% |
145160
186.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15428
569.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15800
583.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11055
409.6 IPS |
|
|
Text Classification (SP)
|
100% |
2149
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3615
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3599
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1129
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1154
19.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1090
18.8 IPS |
