Mac Studio (2023)
Geekbench ML Score
8322
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 08:41 AM |
| Views | 3 |
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 | 3.48 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% |
1114
208.5 IPS |
|
|
Image Classification (F16)
|
100% |
1025
191.7 IPS |
|
|
Image Classification (I8)
|
99% |
1025
191.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2394
40.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2440
40.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2400
40.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
97245
117.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
101057
122.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
95762
116.0 IPS |
|
|
Object Detection (F32)
|
100% |
3966
296.1 IPS |
|
|
Object Detection (F16)
|
100% |
4251
317.4 IPS |
|
|
Object Detection (I8)
|
97% |
3928
293.2 IPS |
|
|
Face Detection (F32)
|
100% |
24969
296.9 IPS |
|
|
Face Detection (F16)
|
98% |
25723
305.9 IPS |
|
|
Face Detection (I8)
|
97% |
23783
282.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
31090
241.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
32900
255.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
29244
226.8 IPS |
|
|
Style Transfer (F32)
|
100% |
168895
222.2 IPS |
|
|
Style Transfer (F16)
|
100% |
176169
231.7 IPS |
|
|
Style Transfer (I8)
|
100% |
176759
232.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21871
781.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20997
749.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18733
669.0 IPS |
|
|
Text Classification (F32)
|
100% |
501
720.7 IPS |
|
|
Text Classification (F16)
|
100% |
548
788.1 IPS |
|
|
Text Classification (I8)
|
96% |
555
797.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1060
19.5 IPS |
|
|
Machine Translation (F16)
|
99% |
1114
20.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1064
19.6 IPS |
