Mac15,12
Geekbench AI Score
7567
Single Precision Score
9005
Half Precision Score
8121
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sampo81 |
| Upload Date | February 22 2025 05:57 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4319
803.2 IPS |
|
|
Image Classification (HP)
|
100% |
4673
869.0 IPS |
|
|
Image Classification (Q)
|
97% |
4033
752.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4348
70.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5980
96.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6328
102.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
25077
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26565
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25349
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
4428
351.2 IPS |
|
|
Object Detection (HP)
|
100% |
4883
387.3 IPS |
|
|
Object Detection (Q)
|
91% |
4147
331.4 IPS |
|
|
Face Detection (SP)
|
100% |
11758
139.7 IPS |
|
|
Face Detection (HP)
|
100% |
14807
175.9 IPS |
|
|
Face Detection (Q)
|
100% |
10945
130.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18621
143.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20561
158.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
17738
138.7 IPS |
|
|
Style Transfer (SP)
|
100% |
51967
66.8 IPS |
|
|
Style Transfer (HP)
|
100% |
60597
77.9 IPS |
|
|
Style Transfer (Q)
|
96% |
56825
73.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11042
407.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11783
435.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9520
351.5 IPS |
|
|
Text Classification (SP)
|
100% |
2918
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5205
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5148
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
861
14.9 IPS |
