VirtualMac2,1
Geekbench AI Score
2453
Single Precision Score
3158
Half Precision Score
2816
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 07 2025 07:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro (Virtual) |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G222) |
| Model | VirtualMac2,1 |
| Model ID | VirtualMac2,1 |
| Motherboard | VirtualMac2,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro (Virtual) |
| Topology | 1 Processor, 4 Cores |
| Identifier | Apple M4 Pro (Virtual) |
| Base Frequency | 4.49 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1040
193.3 IPS |
|
|
Image Classification (HP)
|
100% |
1673
311.1 IPS |
|
|
Image Classification (Q)
|
96% |
1366
255.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2034
33.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2213
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4698
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
5000
5.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
4798
5.62 IPS |
|
|
Object Detection (SP)
|
100% |
1108
87.9 IPS |
|
|
Object Detection (HP)
|
99% |
1932
153.3 IPS |
|
|
Object Detection (Q)
|
92% |
1573
125.5 IPS |
|
|
Face Detection (SP)
|
100% |
2716
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
4764
56.6 IPS |
|
|
Face Detection (Q)
|
100% |
3282
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3541
27.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5351
41.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
4587
35.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9512
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15160
19.5 IPS |
|
|
Style Transfer (Q)
|
96% |
13831
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2566
94.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2933
108.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2495
92.1 IPS |
|
|
Text Classification (SP)
|
100% |
3263
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1151
1.54 KIPS |
|
|
Text Classification (Q)
|
93% |
1145
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2305
39.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2314
40.0 IPS |
