Mac Studio
Geekbench ML Score
9094
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 11 2025 11:50 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.20 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4326
809.5 IPS |
|
|
Image Classification (F16)
|
100% |
4188
783.8 IPS |
|
|
Image Classification (I8)
|
99% |
4252
795.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1646
27.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1720
28.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1742
29.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
71955
87.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
50004
60.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
72660
88.0 IPS |
|
|
Object Detection (F32)
|
100% |
3558
265.7 IPS |
|
|
Object Detection (F16)
|
100% |
3511
262.1 IPS |
|
|
Object Detection (I8)
|
97% |
3272
244.3 IPS |
|
|
Face Detection (F32)
|
100% |
20235
240.6 IPS |
|
|
Face Detection (F16)
|
98% |
20039
238.3 IPS |
|
|
Face Detection (I8)
|
97% |
20117
239.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
27164
210.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
27961
216.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
23653
183.4 IPS |
|
|
Style Transfer (F32)
|
100% |
110622
145.5 IPS |
|
|
Style Transfer (F16)
|
100% |
124445
163.7 IPS |
|
|
Style Transfer (I8)
|
100% |
135227
177.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12756
455.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14872
531.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14852
530.4 IPS |
|
|
Text Classification (F32)
|
100% |
1949
2.80 KIPS |
|
|
Text Classification (F16)
|
100% |
3199
4.60 KIPS |
|
|
Text Classification (I8)
|
96% |
3197
4.59 KIPS |
|
|
Machine Translation (F32)
|
100% |
969
17.8 IPS |
|
|
Machine Translation (F16)
|
100% |
991
18.2 IPS |
|
|
Machine Translation (I8)
|
99% |
971
17.9 IPS |
