VirtualMac2,1
Geekbench ML Score
2067
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 08 2025 01:38 PM |
| Views | 2 |
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% |
938
175.5 IPS |
|
|
Image Classification (F16)
|
100% |
1168
218.6 IPS |
|
|
Image Classification (I8)
|
99% |
1167
218.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
773
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
775
12.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
773
12.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5254
6.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
7068
8.56 IPS |
|
|
Pose Estimation (I8)
|
100% |
7074
8.57 IPS |
|
|
Object Detection (F32)
|
100% |
980
73.2 IPS |
|
|
Object Detection (F16)
|
100% |
1362
101.7 IPS |
|
|
Object Detection (I8)
|
97% |
957
71.5 IPS |
|
|
Face Detection (F32)
|
100% |
2015
24.0 IPS |
|
|
Face Detection (F16)
|
97% |
3160
37.6 IPS |
|
|
Face Detection (I8)
|
96% |
3128
37.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2861
22.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
4837
37.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
4729
36.7 IPS |
|
|
Style Transfer (F32)
|
100% |
10987
14.5 IPS |
|
|
Style Transfer (F16)
|
100% |
19919
26.2 IPS |
|
|
Style Transfer (I8)
|
100% |
19954
26.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2279
81.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3164
113.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3175
113.4 IPS |
|
|
Text Classification (F32)
|
100% |
485
697.2 IPS |
|
|
Text Classification (F16)
|
100% |
836
1.20 KIPS |
|
|
Text Classification (I8)
|
96% |
823
1.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
613
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
896
16.5 IPS |
|
|
Machine Translation (I8)
|
99% |
614
11.3 IPS |
