VirtualMac2,1
Geekbench AI Score
828
Single Precision Score
1449
Half Precision Score
1318
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | heliog1 |
| Upload Date | April 01 2026 06:47 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.05 GHz |
| Cluster 1 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 7.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
500
93.0 IPS |
|
|
Image Classification (HP)
|
100% |
936
174.0 IPS |
|
|
Image Classification (Q)
|
96% |
474
88.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
523
8.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1083
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1320
1.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2376
2.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
2162
2.53 IPS |
|
|
Object Detection (SP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (HP)
|
99% |
708
56.2 IPS |
|
|
Object Detection (Q)
|
92% |
627
50.0 IPS |
|
|
Face Detection (SP)
|
100% |
1255
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
2805
33.3 IPS |
|
|
Face Detection (Q)
|
100% |
1568
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1162
8.95 IPS |
|
|
Depth Estimation (HP)
|
98% |
2055
15.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
2436
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3659
4.70 IPS |
|
|
Style Transfer (HP)
|
100% |
5699
7.33 IPS |
|
|
Style Transfer (Q)
|
96% |
5108
6.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
716
26.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
984
36.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
985
36.4 IPS |
|
|
Text Classification (SP)
|
100% |
339
453.0 IPS |
|
|
Text Classification (HP)
|
100% |
810
1.08 KIPS |
|
|
Text Classification (Q)
|
93% |
832
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (HP)
|
99% |
1082
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1429
24.7 IPS |
