Mac Studio
Geekbench AI Score
3785
Single Precision Score
5841
Half Precision Score
4727
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | yazkimkim |
| Upload Date | September 08 2025 10:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1269
236.1 IPS |
|
|
Image Classification (HP)
|
100% |
1912
355.5 IPS |
|
|
Image Classification (Q)
|
96% |
1434
267.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1486
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2546
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15243
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26405
30.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
20568
24.1 IPS |
|
|
Object Detection (SP)
|
100% |
1527
121.1 IPS |
|
|
Object Detection (HP)
|
97% |
2199
175.0 IPS |
|
|
Object Detection (Q)
|
94% |
1645
131.1 IPS |
|
|
Face Detection (SP)
|
100% |
3215
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
4919
58.5 IPS |
|
|
Face Detection (Q)
|
100% |
2959
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5734
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10081
77.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6897
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24025
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37891
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29946
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4299
158.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6084
224.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4218
155.8 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3936
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3891
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3182
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4462
77.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4499
77.8 IPS |
