VirtualMac2,1
Geekbench ML Score
2080
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 11 2024 12:17 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | VirtualMac2,1 |
| Model ID | VirtualMac2,1 |
| Motherboard | VirtualMac2,1 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro (Virtual) |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 Pro (Virtual) |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 192 KB x 1 |
| L1 Data Cache | 128 KB x 1 |
| L2 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 28.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
916
171.4 IPS |
|
|
Image Classification (F16)
|
100% |
1166
218.2 IPS |
|
|
Image Classification (I8)
|
99% |
1164
217.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
784
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
779
13.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
779
13.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5419
6.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
7096
8.59 IPS |
|
|
Pose Estimation (I8)
|
100% |
7111
8.61 IPS |
|
|
Object Detection (F32)
|
100% |
983
73.4 IPS |
|
|
Object Detection (F16)
|
100% |
1368
102.1 IPS |
|
|
Object Detection (I8)
|
97% |
955
71.3 IPS |
|
|
Face Detection (F32)
|
100% |
2012
23.9 IPS |
|
|
Face Detection (F16)
|
97% |
3073
36.5 IPS |
|
|
Face Detection (I8)
|
96% |
3126
37.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2889
22.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4849
37.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
4767
37.0 IPS |
|
|
Style Transfer (F32)
|
100% |
11211
14.7 IPS |
|
|
Style Transfer (F16)
|
100% |
20241
26.6 IPS |
|
|
Style Transfer (I8)
|
100% |
20223
26.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2312
82.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3240
115.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3152
112.6 IPS |
|
|
Text Classification (F32)
|
100% |
498
716.3 IPS |
|
|
Text Classification (F16)
|
100% |
831
1.19 KIPS |
|
|
Text Classification (I8)
|
96% |
827
1.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
619
11.4 IPS |
|
|
Machine Translation (F16)
|
100% |
908
16.7 IPS |
|
|
Machine Translation (I8)
|
99% |
625
11.5 IPS |
