Mac Studio (2023)
Geekbench ML Score
3450
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 21 2024 12:51 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1444
270.2 IPS |
|
|
Image Classification (F16)
|
100% |
1791
335.2 IPS |
|
|
Image Classification (I8)
|
99% |
1788
334.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
880
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
863
14.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
859
14.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6134
7.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
14347
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14224
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1469
109.7 IPS |
|
|
Object Detection (F16)
|
100% |
1972
147.2 IPS |
|
|
Object Detection (I8)
|
97% |
1482
110.7 IPS |
|
|
Face Detection (F32)
|
100% |
2904
34.5 IPS |
|
|
Face Detection (F16)
|
97% |
4389
52.2 IPS |
|
|
Face Detection (I8)
|
97% |
4347
51.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5519
42.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8549
66.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
8585
66.6 IPS |
|
|
Style Transfer (F32)
|
100% |
16490
21.7 IPS |
|
|
Style Transfer (F16)
|
100% |
25904
34.1 IPS |
|
|
Style Transfer (I8)
|
100% |
26237
34.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3938
140.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5068
181.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5093
181.9 IPS |
|
|
Text Classification (F32)
|
100% |
2091
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3125
4.49 KIPS |
|
|
Text Classification (I8)
|
96% |
3112
4.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
1030
19.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1549
28.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1020
18.8 IPS |
