Mac Studio (2023)
Geekbench ML Score
8381
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 09:31 AM |
| Views | 4 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1084
202.9 IPS |
|
|
Image Classification (F16)
|
100% |
1010
188.9 IPS |
|
|
Image Classification (I8)
|
99% |
1011
189.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2326
38.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2377
39.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2342
39.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
121702
147.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
125407
151.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
118335
143.3 IPS |
|
|
Object Detection (F32)
|
100% |
4205
313.9 IPS |
|
|
Object Detection (F16)
|
100% |
4259
317.9 IPS |
|
|
Object Detection (I8)
|
97% |
3977
296.9 IPS |
|
|
Face Detection (F32)
|
100% |
24507
291.4 IPS |
|
|
Face Detection (F16)
|
98% |
23447
278.8 IPS |
|
|
Face Detection (I8)
|
97% |
22671
269.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
32573
252.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
34410
266.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
30677
237.9 IPS |
|
|
Style Transfer (F32)
|
100% |
198392
261.0 IPS |
|
|
Style Transfer (F16)
|
100% |
186956
245.9 IPS |
|
|
Style Transfer (I8)
|
100% |
187666
246.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14939
533.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16386
585.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17692
631.8 IPS |
|
|
Text Classification (F32)
|
100% |
439
630.6 IPS |
|
|
Text Classification (F16)
|
100% |
524
752.6 IPS |
|
|
Text Classification (I8)
|
96% |
693
995.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1054
19.4 IPS |
|
|
Machine Translation (F16)
|
99% |
1144
21.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1045
19.2 IPS |
