Mac Studio
Geekbench AI Score
3712
Single Precision Score
6018
Half Precision Score
4831
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | DMALLICK |
| Upload Date | December 14 2025 01:06 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
1209
224.8 IPS |
|
|
Image Classification (HP)
|
100% |
1866
347.1 IPS |
|
|
Image Classification (Q)
|
96% |
1349
251.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2053
33.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2509
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15341
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
29790
34.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
21060
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.5 IPS |
|
|
Object Detection (HP)
|
97% |
2241
178.4 IPS |
|
|
Object Detection (Q)
|
94% |
1708
136.1 IPS |
|
|
Face Detection (SP)
|
100% |
3272
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5282
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
3082
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5674
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10360
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7075
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24003
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38705
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30584
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4065
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5515
203.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4147
153.1 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3972
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4013
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3031
52.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5257
90.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5126
88.6 IPS |
