Mac Studio (2023)
Geekbench ML Score
8266
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 03:39 PM |
| Views | 1 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1100
205.7 IPS |
|
|
Image Classification (F16)
|
100% |
1003
187.6 IPS |
|
|
Image Classification (I8)
|
99% |
1000
187.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2266
37.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2296
38.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2321
38.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
94688
114.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
98737
119.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
94131
114.0 IPS |
|
|
Object Detection (F32)
|
100% |
3739
279.2 IPS |
|
|
Object Detection (F16)
|
100% |
4144
309.3 IPS |
|
|
Object Detection (I8)
|
97% |
3536
264.0 IPS |
|
|
Face Detection (F32)
|
100% |
21969
261.2 IPS |
|
|
Face Detection (F16)
|
98% |
22475
267.2 IPS |
|
|
Face Detection (I8)
|
97% |
21068
250.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
30842
239.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
32565
252.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
29153
226.1 IPS |
|
|
Style Transfer (F32)
|
100% |
170167
223.8 IPS |
|
|
Style Transfer (F16)
|
100% |
167973
221.0 IPS |
|
|
Style Transfer (I8)
|
100% |
172571
227.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18171
648.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21108
753.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16852
601.8 IPS |
|
|
Text Classification (F32)
|
100% |
1009
1.45 KIPS |
|
|
Text Classification (F16)
|
100% |
694
997.2 IPS |
|
|
Text Classification (I8)
|
96% |
642
922.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1040
19.1 IPS |
|
|
Machine Translation (F16)
|
99% |
1096
20.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1036
19.1 IPS |
