Github Actions Mac runner VirtualMac2,1
Geekbench AI Score
1181
Single Precision Score
1907
Half Precision Score
1717
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iambjlu |
| Upload Date | November 29 2025 05:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 (Virtual) |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| Model | VirtualMac2,1 |
| Model ID | VirtualMac2,1 |
| Motherboard | VirtualMac2,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 (Virtual) |
| Topology | 1 Processor, 3 Cores |
| Identifier | Apple M1 (Virtual) |
| Base Frequency | 3.04 GHz |
| Cluster 1 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 7.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
572
106.3 IPS |
|
|
Image Classification (HP)
|
100% |
1001
186.2 IPS |
|
|
Image Classification (Q)
|
96% |
867
161.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1273
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2414
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2663
3.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
2587
3.03 IPS |
|
|
Object Detection (SP)
|
100% |
650
51.6 IPS |
|
|
Object Detection (HP)
|
99% |
1141
90.5 IPS |
|
|
Object Detection (Q)
|
92% |
934
74.5 IPS |
|
|
Face Detection (SP)
|
100% |
1425
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
2811
33.4 IPS |
|
|
Face Detection (Q)
|
100% |
1992
23.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1791
13.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3039
23.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
2670
20.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4916
6.32 IPS |
|
|
Style Transfer (HP)
|
100% |
8150
10.5 IPS |
|
|
Style Transfer (Q)
|
96% |
7887
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1339
49.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1689
62.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1453
53.7 IPS |
|
|
Text Classification (SP)
|
100% |
449
599.6 IPS |
|
|
Text Classification (HP)
|
100% |
835
1.12 KIPS |
|
|
Text Classification (Q)
|
93% |
830
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1868
32.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1657
28.6 IPS |
