Mac Studio
Geekbench AI Score
3846
Single Precision Score
16209
Half Precision Score
16160
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sellen |
| Upload Date | March 05 2025 10:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1284
238.7 IPS |
|
|
Image Classification (HP)
|
100% |
6609
1.23 KIPS |
|
|
Image Classification (Q)
|
96% |
6318
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9816
159.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10460
169.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16118
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
71292
83.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66879
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
1540
122.1 IPS |
|
|
Object Detection (HP)
|
99% |
7800
620.5 IPS |
|
|
Object Detection (Q)
|
91% |
7280
581.7 IPS |
|
|
Face Detection (SP)
|
100% |
3336
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
16097
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
15137
179.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5955
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
50503
389.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
53430
417.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22307
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
119787
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115838
149.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4457
164.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25132
928.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27129
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3905
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3927
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3279
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3633
62.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3783
65.4 IPS |
