Mac Studio (2023)
Geekbench ML Score
8693
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 03:31 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | 3.47 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1083
202.7 IPS |
|
|
Image Classification (F16)
|
100% |
7146
1.34 KIPS |
|
|
Image Classification (I8)
|
99% |
7578
1.42 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2306
38.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1691
28.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1692
28.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
95125
115.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
79383
96.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
81865
99.1 IPS |
|
|
Object Detection (F32)
|
100% |
4170
311.3 IPS |
|
|
Object Detection (F16)
|
100% |
3621
270.3 IPS |
|
|
Object Detection (I8)
|
97% |
3851
287.5 IPS |
|
|
Face Detection (F32)
|
100% |
22656
269.4 IPS |
|
|
Face Detection (F16)
|
97% |
11120
132.2 IPS |
|
|
Face Detection (I8)
|
96% |
11137
132.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
31037
240.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
41539
322.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
41712
323.5 IPS |
|
|
Style Transfer (F32)
|
100% |
171200
225.2 IPS |
|
|
Style Transfer (F16)
|
100% |
133411
175.5 IPS |
|
|
Style Transfer (I8)
|
100% |
131831
173.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14637
522.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18099
646.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18347
655.2 IPS |
|
|
Text Classification (F32)
|
100% |
987
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
677
972.9 IPS |
|
|
Text Classification (I8)
|
96% |
640
920.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1014
18.7 IPS |
|
|
Machine Translation (F16)
|
99% |
1097
20.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1027
18.9 IPS |
