Mac Studio
Geekbench AI Score
13292
Single Precision Score
14770
Half Precision Score
14126
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 12 2025 11:05 PM |
| Views | 6 |
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 | 3.22 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4682
870.8 IPS |
|
|
Image Classification (HP)
|
100% |
4668
868.2 IPS |
|
|
Image Classification (Q)
|
96% |
4304
803.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
14176
229.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14497
235.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13570
220.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
81383
95.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
88902
103.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
84001
98.4 IPS |
|
|
Object Detection (SP)
|
100% |
4932
391.2 IPS |
|
|
Object Detection (HP)
|
100% |
4987
395.6 IPS |
|
|
Object Detection (Q)
|
92% |
4707
375.7 IPS |
|
|
Face Detection (SP)
|
100% |
24049
285.8 IPS |
|
|
Face Detection (HP)
|
100% |
24199
287.5 IPS |
|
|
Face Detection (Q)
|
100% |
21705
257.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26998
208.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
28213
217.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
26136
204.1 IPS |
|
|
Style Transfer (SP)
|
100% |
139725
179.6 IPS |
|
|
Style Transfer (HP)
|
100% |
153331
197.1 IPS |
|
|
Style Transfer (Q)
|
96% |
148408
191.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15180
560.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17407
642.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14855
548.5 IPS |
|
|
Text Classification (SP)
|
100% |
2206
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3900
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3751
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2128
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2318
39.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2922
50.5 IPS |
