VirtualMac2,1
Geekbench ML Score
1895
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 09 2025 01:46 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 | 3.30 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% |
862
161.3 IPS |
|
|
Image Classification (F16)
|
100% |
1155
216.2 IPS |
|
|
Image Classification (I8)
|
99% |
1120
209.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
770
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
709
11.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
712
11.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
4818
5.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
7070
8.56 IPS |
|
|
Pose Estimation (I8)
|
100% |
6769
8.20 IPS |
|
|
Object Detection (F32)
|
100% |
891
66.5 IPS |
|
|
Object Detection (F16)
|
100% |
1335
99.6 IPS |
|
|
Object Detection (I8)
|
97% |
915
68.3 IPS |
|
|
Face Detection (F32)
|
100% |
1894
22.5 IPS |
|
|
Face Detection (F16)
|
97% |
2885
34.3 IPS |
|
|
Face Detection (I8)
|
96% |
2897
34.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2685
20.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
4407
34.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
4309
33.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9561
12.6 IPS |
|
|
Style Transfer (F16)
|
100% |
18327
24.1 IPS |
|
|
Style Transfer (I8)
|
100% |
19493
25.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2281
81.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3196
114.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3154
112.6 IPS |
|
|
Text Classification (F32)
|
100% |
482
692.9 IPS |
|
|
Text Classification (F16)
|
100% |
834
1.20 KIPS |
|
|
Text Classification (I8)
|
96% |
837
1.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
619
11.4 IPS |
|
|
Machine Translation (F16)
|
100% |
487
8.96 IPS |
|
|
Machine Translation (I8)
|
99% |
308
5.66 IPS |
