Mac Studio
Geekbench AI Score
13009
Single Precision Score
14499
Half Precision Score
13360
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | yazkimkim |
| Upload Date | September 08 2025 10:14 AM |
| Views | 3 |
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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4873
906.2 IPS |
|
|
Image Classification (HP)
|
100% |
4741
881.6 IPS |
|
|
Image Classification (Q)
|
96% |
4351
812.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
14177
229.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14599
236.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13713
222.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
82037
95.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
88308
103.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
84275
98.7 IPS |
|
|
Object Detection (SP)
|
100% |
5034
399.3 IPS |
|
|
Object Detection (HP)
|
100% |
5129
406.9 IPS |
|
|
Object Detection (Q)
|
92% |
4644
370.7 IPS |
|
|
Face Detection (SP)
|
100% |
22385
266.0 IPS |
|
|
Face Detection (HP)
|
100% |
24885
295.7 IPS |
|
|
Face Detection (Q)
|
100% |
21718
258.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27370
210.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
28208
217.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
25320
197.8 IPS |
|
|
Style Transfer (SP)
|
100% |
133040
171.0 IPS |
|
|
Style Transfer (HP)
|
100% |
149742
192.5 IPS |
|
|
Style Transfer (Q)
|
96% |
149510
192.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15518
573.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17903
661.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14506
535.6 IPS |
|
|
Text Classification (SP)
|
100% |
2175
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3756
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3649
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1769
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1854
31.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1783
30.8 IPS |
