Mac Studio (2023)
Geekbench ML Score
8228
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 21 2024 12:54 PM |
| Views | 2 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1084
202.9 IPS |
|
|
Image Classification (F16)
|
100% |
998
186.8 IPS |
|
|
Image Classification (I8)
|
99% |
971
181.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2259
37.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2315
38.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2313
38.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
95245
115.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
99318
120.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
95285
115.4 IPS |
|
|
Object Detection (F32)
|
100% |
4168
311.1 IPS |
|
|
Object Detection (F16)
|
100% |
4184
312.4 IPS |
|
|
Object Detection (I8)
|
97% |
3886
290.1 IPS |
|
|
Face Detection (F32)
|
100% |
22412
266.5 IPS |
|
|
Face Detection (F16)
|
98% |
22876
272.0 IPS |
|
|
Face Detection (I8)
|
97% |
21335
253.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
30985
240.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
32682
253.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
29068
225.4 IPS |
|
|
Style Transfer (F32)
|
100% |
171325
225.4 IPS |
|
|
Style Transfer (F16)
|
100% |
167425
220.2 IPS |
|
|
Style Transfer (I8)
|
100% |
172089
226.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21105
753.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14837
529.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20990
749.6 IPS |
|
|
Text Classification (F32)
|
100% |
747
1.07 KIPS |
|
|
Text Classification (F16)
|
100% |
642
922.8 IPS |
|
|
Text Classification (I8)
|
96% |
643
923.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1022
18.8 IPS |
|
|
Machine Translation (F16)
|
99% |
1087
20.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1036
19.1 IPS |
