Mac Studio (2023)
Geekbench ML Score
4772
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 05:07 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 | 3.46 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1401
262.3 IPS |
|
|
Image Classification (F16)
|
100% |
2176
407.3 IPS |
|
|
Image Classification (I8)
|
99% |
2149
402.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
975
16.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1184
19.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1184
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
18324
22.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
30599
37.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
31316
37.9 IPS |
|
|
Object Detection (F32)
|
100% |
1643
122.7 IPS |
|
|
Object Detection (F16)
|
100% |
2376
177.4 IPS |
|
|
Object Detection (I8)
|
97% |
1616
120.7 IPS |
|
|
Face Detection (F32)
|
100% |
3599
42.8 IPS |
|
|
Face Detection (F16)
|
97% |
6038
71.8 IPS |
|
|
Face Detection (I8)
|
97% |
5966
70.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6335
49.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
12286
95.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
12424
96.4 IPS |
|
|
Style Transfer (F32)
|
100% |
28427
37.4 IPS |
|
|
Style Transfer (F16)
|
100% |
44306
58.3 IPS |
|
|
Style Transfer (I8)
|
100% |
44597
58.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5872
209.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8104
289.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8026
286.6 IPS |
|
|
Text Classification (F32)
|
100% |
2036
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3466
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3490
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1456
26.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1627
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1483
27.3 IPS |
