VirtualMac2,1
Geekbench ML Score
1989
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 09 2025 02:05 PM |
| Views | 3 |
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% |
872
163.2 IPS |
|
|
Image Classification (F16)
|
100% |
1159
216.8 IPS |
|
|
Image Classification (I8)
|
99% |
1160
217.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
778
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
699
11.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
729
12.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5267
6.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
6461
7.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
7057
8.55 IPS |
|
|
Object Detection (F32)
|
100% |
980
73.1 IPS |
|
|
Object Detection (F16)
|
100% |
1350
100.8 IPS |
|
|
Object Detection (I8)
|
97% |
925
69.0 IPS |
|
|
Face Detection (F32)
|
100% |
1875
22.3 IPS |
|
|
Face Detection (F16)
|
97% |
2922
34.7 IPS |
|
|
Face Detection (I8)
|
96% |
2884
34.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2680
20.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
4633
35.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
4586
35.6 IPS |
|
|
Style Transfer (F32)
|
100% |
10325
13.6 IPS |
|
|
Style Transfer (F16)
|
100% |
19978
26.3 IPS |
|
|
Style Transfer (I8)
|
100% |
20029
26.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2227
79.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2921
104.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3057
109.2 IPS |
|
|
Text Classification (F32)
|
100% |
468
673.1 IPS |
|
|
Text Classification (F16)
|
100% |
798
1.15 KIPS |
|
|
Text Classification (I8)
|
96% |
799
1.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
625
11.5 IPS |
|
|
Machine Translation (F16)
|
100% |
804
14.8 IPS |
|
|
Machine Translation (I8)
|
99% |
604
11.1 IPS |
