Github Actions Mac runner VirtualMac2,1
Geekbench AI Score
1173
Single Precision Score
1927
Half Precision Score
1718
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iambjlu |
| Upload Date | November 29 2025 05:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.00 GHz |
| Cluster 1 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 7.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
576
107.1 IPS |
|
|
Image Classification (HP)
|
100% |
1095
203.7 IPS |
|
|
Image Classification (Q)
|
96% |
837
156.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
724
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1183
19.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1249
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2341
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2695
3.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
2540
2.98 IPS |
|
|
Object Detection (SP)
|
100% |
626
49.6 IPS |
|
|
Object Detection (HP)
|
99% |
1153
91.5 IPS |
|
|
Object Detection (Q)
|
92% |
941
75.1 IPS |
|
|
Face Detection (SP)
|
100% |
1492
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
2690
32.0 IPS |
|
|
Face Detection (Q)
|
100% |
2066
24.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1907
14.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3020
23.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
2633
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4970
6.39 IPS |
|
|
Style Transfer (HP)
|
100% |
8422
10.8 IPS |
|
|
Style Transfer (Q)
|
96% |
7872
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1303
48.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1648
60.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1466
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
431
575.2 IPS |
|
|
Text Classification (HP)
|
100% |
832
1.11 KIPS |
|
|
Text Classification (Q)
|
93% |
825
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1870
32.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1731
29.9 IPS |
