Mac Studio
Geekbench AI Score
13284
Single Precision Score
14683
Half Precision Score
13719
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dirkjumpertz |
| Upload Date | November 05 2025 02:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
4847
901.5 IPS |
|
|
Image Classification (HP)
|
100% |
4762
885.6 IPS |
|
|
Image Classification (Q)
|
96% |
4431
827.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
14309
232.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14646
237.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
13865
224.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
81982
95.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
88739
103.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
84030
98.4 IPS |
|
|
Object Detection (SP)
|
100% |
4996
396.3 IPS |
|
|
Object Detection (HP)
|
100% |
5027
398.8 IPS |
|
|
Object Detection (Q)
|
92% |
4726
377.2 IPS |
|
|
Face Detection (SP)
|
100% |
24690
293.4 IPS |
|
|
Face Detection (HP)
|
100% |
24516
291.3 IPS |
|
|
Face Detection (Q)
|
100% |
21637
257.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27669
213.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
28472
219.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
25744
201.1 IPS |
|
|
Style Transfer (SP)
|
100% |
136727
175.8 IPS |
|
|
Style Transfer (HP)
|
100% |
152327
195.8 IPS |
|
|
Style Transfer (Q)
|
96% |
146889
189.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15142
559.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18327
676.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16044
592.4 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4126
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4021
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1810
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1862
32.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1835
31.7 IPS |
