Mac Studio
Geekbench AI Score
4039
Single Precision Score
14904
Half Precision Score
15287
Quantized Score
Geekbench AI 1.0.0 Pro for macOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | October 30 2024 07:40 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.22 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1361
253.2 IPS |
|
|
Image Classification (HP)
|
100% |
6691
1.24 KIPS |
|
|
Image Classification (Q)
|
99% |
7080
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1642
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8218
133.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
8210
133.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15637
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
69489
81.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
65969
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1674
132.8 IPS |
|
|
Object Detection (HP)
|
99% |
7403
588.9 IPS |
|
|
Object Detection (Q)
|
91% |
7205
575.7 IPS |
|
|
Face Detection (SP)
|
100% |
3489
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
11980
142.4 IPS |
|
|
Face Detection (Q)
|
100% |
13748
163.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6054
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46246
356.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
49264
380.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23671
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
117961
151.6 IPS |
|
|
Style Transfer (Q)
|
100% |
123223
158.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4803
177.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25688
948.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27470
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3962
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3944
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3589
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2875
49.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2791
48.2 IPS |
