Mac Studio (2023)
Geekbench ML Score
10751
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 05:13 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 3.40 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% |
5068
948.4 IPS |
|
|
Image Classification (F16)
|
100% |
5127
959.3 IPS |
|
|
Image Classification (I8)
|
99% |
4649
869.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2079
34.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2056
34.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2034
34.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
94487
114.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
98245
119.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
92921
112.5 IPS |
|
|
Object Detection (F32)
|
100% |
3869
288.8 IPS |
|
|
Object Detection (F16)
|
100% |
3858
288.0 IPS |
|
|
Object Detection (I8)
|
97% |
3669
273.9 IPS |
|
|
Face Detection (F32)
|
100% |
20823
247.6 IPS |
|
|
Face Detection (F16)
|
98% |
21454
255.1 IPS |
|
|
Face Detection (I8)
|
97% |
19054
226.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
30445
236.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
32244
250.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
28612
221.9 IPS |
|
|
Style Transfer (F32)
|
100% |
169933
223.5 IPS |
|
|
Style Transfer (F16)
|
100% |
173564
228.3 IPS |
|
|
Style Transfer (I8)
|
100% |
172239
226.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18415
657.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19326
690.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17631
629.7 IPS |
|
|
Text Classification (F32)
|
100% |
2019
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3512
5.05 KIPS |
|
|
Text Classification (I8)
|
96% |
3548
5.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
980
18.0 IPS |
|
|
Machine Translation (F16)
|
100% |
987
18.2 IPS |
|
|
Machine Translation (I8)
|
99% |
955
17.6 IPS |
