Mac Studio
Geekbench AI Score
3811
Single Precision Score
5683
Half Precision Score
4884
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | shailesh001 |
| Upload Date | November 04 2024 02:09 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.17 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1300
241.7 IPS |
|
|
Image Classification (HP)
|
100% |
1850
344.1 IPS |
|
|
Image Classification (Q)
|
99% |
1858
346.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1499
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2175
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16122
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26367
30.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
20341
23.8 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
97% |
2272
180.9 IPS |
|
|
Object Detection (Q)
|
94% |
1646
131.2 IPS |
|
|
Face Detection (SP)
|
100% |
3208
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
5124
60.9 IPS |
|
|
Face Detection (Q)
|
100% |
3083
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5928
45.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10738
83.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
10667
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22824
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37163
47.8 IPS |
|
|
Style Transfer (Q)
|
100% |
37496
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4351
160.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6600
243.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3981
147.5 IPS |
|
|
Text Classification (SP)
|
100% |
2244
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3852
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3885
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3190
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2926
50.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2994
51.7 IPS |
