Mac Studio
Geekbench ML Score
2903
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | trode |
| Upload Date | August 15 2024 05:10 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1246
233.2 IPS |
|
|
Image Classification (F16)
|
100% |
1524
285.2 IPS |
|
|
Image Classification (I8)
|
99% |
1521
284.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
725
12.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
724
12.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
722
12.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5287
6.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
12411
15.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
12496
15.1 IPS |
|
|
Object Detection (F32)
|
100% |
1221
91.2 IPS |
|
|
Object Detection (F16)
|
100% |
1684
125.7 IPS |
|
|
Object Detection (I8)
|
97% |
1239
92.5 IPS |
|
|
Face Detection (F32)
|
100% |
2507
29.8 IPS |
|
|
Face Detection (F16)
|
97% |
3761
44.7 IPS |
|
|
Face Detection (I8)
|
97% |
3776
44.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4908
38.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
7797
60.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
7810
60.6 IPS |
|
|
Style Transfer (F32)
|
100% |
13742
18.1 IPS |
|
|
Style Transfer (F16)
|
100% |
22073
29.0 IPS |
|
|
Style Transfer (I8)
|
100% |
22361
29.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3330
118.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4031
144.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4156
148.4 IPS |
|
|
Text Classification (F32)
|
100% |
2073
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3179
4.57 KIPS |
|
|
Text Classification (I8)
|
96% |
3335
4.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
636
11.7 IPS |
|
|
Machine Translation (F16)
|
100% |
887
16.3 IPS |
|
|
Machine Translation (I8)
|
99% |
679
12.5 IPS |
