Mac Studio (2023)
Geekbench ML Score
4836
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | non |
| Upload Date | August 16 2024 09:30 AM |
| 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 | 3.47 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1428
267.2 IPS |
|
|
Image Classification (F16)
|
100% |
2225
416.4 IPS |
|
|
Image Classification (I8)
|
99% |
2215
414.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1060
17.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1291
21.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1269
21.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
17978
21.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
30962
37.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
31288
37.9 IPS |
|
|
Object Detection (F32)
|
100% |
1635
122.1 IPS |
|
|
Object Detection (F16)
|
100% |
2472
184.5 IPS |
|
|
Object Detection (I8)
|
97% |
1657
123.7 IPS |
|
|
Face Detection (F32)
|
100% |
3689
43.9 IPS |
|
|
Face Detection (F16)
|
97% |
6051
71.9 IPS |
|
|
Face Detection (I8)
|
97% |
6178
73.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6396
49.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
12374
96.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
11831
91.8 IPS |
|
|
Style Transfer (F32)
|
100% |
27688
36.4 IPS |
|
|
Style Transfer (F16)
|
100% |
43411
57.1 IPS |
|
|
Style Transfer (I8)
|
100% |
42601
56.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5767
205.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8218
293.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8018
286.4 IPS |
|
|
Text Classification (F32)
|
100% |
2025
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3579
5.14 KIPS |
|
|
Text Classification (I8)
|
96% |
3572
5.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
1500
27.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1690
31.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1462
26.9 IPS |
