VirtualMac2,1
Geekbench AI Score
1085
Single Precision Score
1774
Half Precision Score
1571
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | heliog1 |
| Upload Date | April 01 2026 06:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 (Virtual) |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.03 GHz |
| Cluster 1 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 7.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
489
90.9 IPS |
|
|
Image Classification (HP)
|
100% |
863
160.5 IPS |
|
|
Image Classification (Q)
|
96% |
838
156.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1153
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1950
2.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2337
2.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
2142
2.51 IPS |
|
|
Object Detection (SP)
|
100% |
510
40.4 IPS |
|
|
Object Detection (HP)
|
99% |
1185
94.0 IPS |
|
|
Object Detection (Q)
|
92% |
855
68.2 IPS |
|
|
Face Detection (SP)
|
100% |
1413
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
2799
33.3 IPS |
|
|
Face Detection (Q)
|
100% |
2067
24.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1829
14.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3133
24.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
2851
22.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4967
6.39 IPS |
|
|
Style Transfer (HP)
|
100% |
8398
10.8 IPS |
|
|
Style Transfer (Q)
|
96% |
7080
9.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1307
48.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1668
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1383
51.1 IPS |
|
|
Text Classification (SP)
|
100% |
449
599.6 IPS |
|
|
Text Classification (HP)
|
100% |
903
1.20 KIPS |
|
|
Text Classification (Q)
|
93% |
859
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (HP)
|
99% |
1090
18.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1045
18.1 IPS |
