Mac Studio
Geekbench AI Score
13332
Single Precision Score
14777
Half Precision Score
13652
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | fhlipzero |
| Upload Date | October 20 2025 01:39 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 3.12 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4803
893.2 IPS |
|
|
Image Classification (HP)
|
100% |
4616
858.4 IPS |
|
|
Image Classification (Q)
|
96% |
4240
791.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
14129
229.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14480
234.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13652
221.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
81285
94.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
89144
104.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
84161
98.6 IPS |
|
|
Object Detection (SP)
|
100% |
4992
396.0 IPS |
|
|
Object Detection (HP)
|
100% |
4961
393.5 IPS |
|
|
Object Detection (Q)
|
92% |
4405
351.6 IPS |
|
|
Face Detection (SP)
|
100% |
24311
288.9 IPS |
|
|
Face Detection (HP)
|
100% |
24351
289.3 IPS |
|
|
Face Detection (Q)
|
100% |
21104
250.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27652
213.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
28173
217.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
24970
195.0 IPS |
|
|
Style Transfer (SP)
|
100% |
133402
171.5 IPS |
|
|
Style Transfer (HP)
|
100% |
151443
194.7 IPS |
|
|
Style Transfer (Q)
|
96% |
148404
191.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15798
583.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18412
679.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15922
587.9 IPS |
|
|
Text Classification (SP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3925
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3888
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2015
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2238
38.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2165
37.4 IPS |
