Sonoma_MBP128_14CPU-32GB_coreML-GPU VirtualMac2,1
Geekbench AI Score
1301
Single Precision Score
1262
Half Precision Score
854
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | krofa |
| Upload Date | March 07 2025 01:46 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max (Virtual) |
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| Model | VirtualMac2,1 |
| Model ID | VirtualMac2,1 |
| Motherboard | VirtualMac2,1 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max (Virtual) |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max (Virtual) |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
570
106.0 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.7 IPS |
|
|
Image Classification (Q)
|
96% |
310
57.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
510
8.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
5090
5.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
4895
5.71 IPS |
|
|
Pose Estimation (Q)
|
95% |
3657
4.29 IPS |
|
|
Object Detection (SP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (HP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (Q)
|
92% |
380
30.4 IPS |
|
|
Face Detection (SP)
|
100% |
1730
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
1649
19.6 IPS |
|
|
Face Detection (Q)
|
100% |
664
7.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
2225
17.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2100
16.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
1336
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9391
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9121
11.7 IPS |
|
|
Style Transfer (Q)
|
96% |
6256
8.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1399
51.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1321
48.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
777
28.7 IPS |
|
|
Text Classification (SP)
|
100% |
221
294.7 IPS |
|
|
Text Classification (HP)
|
100% |
358
478.1 IPS |
|
|
Text Classification (Q)
|
93% |
361
484.2 IPS |
|
|
Machine Translation (SP)
|
100% |
926
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (Q)
|
98% |
607
10.5 IPS |
