Mac Studio (2023)
Geekbench ML Score
2124
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 20 2024 08:45 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,14 |
| Motherboard | Mac14,14 |
| CPU Information | |
|---|---|
| Name | Apple M2 Ultra |
| Topology | 1 Processor, 24 Cores |
| Identifier | Apple M2 Ultra |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1116
208.9 IPS |
|
|
Image Classification (F16)
|
100% |
1032
193.2 IPS |
|
|
Image Classification (I8)
|
99% |
1016
190.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
583
9.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
524
8.75 IPS |
|
|
Image Segmentation (I8)
|
100% |
523
8.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
14840
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
17910
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17319
21.0 IPS |
|
|
Object Detection (F32)
|
100% |
1208
90.2 IPS |
|
|
Object Detection (F16)
|
100% |
1137
84.9 IPS |
|
|
Object Detection (I8)
|
97% |
1152
86.0 IPS |
|
|
Face Detection (F32)
|
100% |
2077
24.7 IPS |
|
|
Face Detection (F16)
|
100% |
1822
21.7 IPS |
|
|
Face Detection (I8)
|
99% |
1822
21.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4251
33.0 IPS |
|
|
Depth Estimation (F16)
|
99% |
3843
29.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
3631
28.2 IPS |
|
|
Style Transfer (F32)
|
100% |
14533
19.1 IPS |
|
|
Style Transfer (F16)
|
100% |
15338
20.2 IPS |
|
|
Style Transfer (I8)
|
100% |
15260
20.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2216
79.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2582
92.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2625
93.7 IPS |
|
|
Text Classification (F32)
|
100% |
570
819.8 IPS |
|
|
Text Classification (F16)
|
100% |
572
821.9 IPS |
|
|
Text Classification (I8)
|
96% |
572
822.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1063
19.6 IPS |
|
|
Machine Translation (F16)
|
99% |
1111
20.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1054
19.4 IPS |
