Sonoma_MBP128_14CPU-32GB_CoreML-CPU VirtualMac2,1
Geekbench AI Score
1938
Single Precision Score
2816
Half Precision Score
2583
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | krofa |
| Upload Date | March 07 2025 01:42 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.97 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
864
160.8 IPS |
|
|
Image Classification (HP)
|
100% |
1016
188.9 IPS |
|
|
Image Classification (Q)
|
96% |
897
167.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1115
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1563
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5872
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
10371
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9437
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1003
79.5 IPS |
|
|
Object Detection (HP)
|
99% |
1337
106.1 IPS |
|
|
Object Detection (Q)
|
92% |
1154
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
2252
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (Q)
|
100% |
2446
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2829
21.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4768
36.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
4070
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14584
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26945
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23103
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1986
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3014
111.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2337
86.3 IPS |
|
|
Text Classification (SP)
|
100% |
550
734.5 IPS |
|
|
Text Classification (HP)
|
99% |
905
1.21 KIPS |
|
|
Text Classification (Q)
|
93% |
897
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1745
30.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1802
31.1 IPS |
