Mac Studio
Geekbench AI Score
11176
Single Precision Score
11795
Half Precision Score
10870
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | scntech |
| Upload Date | October 12 2024 07:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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 | 2.99 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4363
811.4 IPS |
|
|
Image Classification (HP)
|
100% |
3330
619.3 IPS |
|
|
Image Classification (Q)
|
97% |
3542
661.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
11712
189.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11915
193.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12076
195.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
79639
92.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
83259
97.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
76585
89.8 IPS |
|
|
Object Detection (SP)
|
100% |
3808
302.0 IPS |
|
|
Object Detection (HP)
|
100% |
3753
297.7 IPS |
|
|
Object Detection (Q)
|
91% |
3688
294.7 IPS |
|
|
Face Detection (SP)
|
100% |
20308
241.3 IPS |
|
|
Face Detection (HP)
|
100% |
21224
252.2 IPS |
|
|
Face Detection (Q)
|
100% |
16023
190.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
24707
190.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
26644
205.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
21709
169.7 IPS |
|
|
Style Transfer (SP)
|
100% |
129808
166.9 IPS |
|
|
Style Transfer (HP)
|
100% |
147196
189.2 IPS |
|
|
Style Transfer (Q)
|
96% |
136778
176.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14974
552.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15095
557.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11971
442.0 IPS |
|
|
Text Classification (SP)
|
100% |
1794
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3057
4.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1122
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1105
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1095
18.9 IPS |
