Mac Studio
Geekbench AI Score
3793
Single Precision Score
16159
Half Precision Score
16119
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Mizar |
| Upload Date | March 11 2025 12:09 AM |
| Views | 5 |
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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1282
238.4 IPS |
|
|
Image Classification (HP)
|
100% |
6515
1.21 KIPS |
|
|
Image Classification (Q)
|
96% |
6242
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9837
159.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10450
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15124
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
71275
83.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66547
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1536
121.9 IPS |
|
|
Object Detection (HP)
|
99% |
7704
612.8 IPS |
|
|
Object Detection (Q)
|
91% |
7214
576.4 IPS |
|
|
Face Detection (SP)
|
100% |
3285
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
16014
190.3 IPS |
|
|
Face Detection (Q)
|
100% |
15155
180.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5977
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
50396
388.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
53274
416.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22283
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
120443
154.8 IPS |
|
|
Style Transfer (Q)
|
96% |
116208
150.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4316
159.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24984
922.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27279
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3885
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3891
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3191
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3657
63.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3798
65.6 IPS |
