Mac Studio (2023)
Geekbench ML Score
3493
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 09:29 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 3.66 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 | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1449
271.1 IPS |
|
|
Image Classification (F16)
|
100% |
1835
343.3 IPS |
|
|
Image Classification (I8)
|
99% |
1834
343.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
888
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
892
14.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
890
14.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6109
7.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
14227
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14156
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1476
110.2 IPS |
|
|
Object Detection (F16)
|
100% |
1968
146.9 IPS |
|
|
Object Detection (I8)
|
97% |
1480
110.5 IPS |
|
|
Face Detection (F32)
|
100% |
2950
35.1 IPS |
|
|
Face Detection (F16)
|
97% |
4278
50.9 IPS |
|
|
Face Detection (I8)
|
97% |
4289
51.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5513
42.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8510
66.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
8535
66.2 IPS |
|
|
Style Transfer (F32)
|
100% |
16571
21.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26386
34.7 IPS |
|
|
Style Transfer (I8)
|
100% |
26463
34.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3933
140.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5144
183.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5108
182.4 IPS |
|
|
Text Classification (F32)
|
100% |
2120
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3232
4.65 KIPS |
|
|
Text Classification (I8)
|
96% |
3223
4.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
1088
20.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1599
29.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1092
20.1 IPS |
