Mac15,12
Geekbench AI Score
4101
Single Precision Score
30415
Half Precision Score
34646
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | zedwarth |
| Upload Date | March 08 2025 10:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1562
290.6 IPS |
|
|
Image Classification (HP)
|
100% |
16661
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
20045
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20914
339.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25458
412.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8454
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
122496
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
121217
142.1 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
100% |
18455
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
20750
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3412
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
35692
424.1 IPS |
|
|
Face Detection (Q)
|
100% |
50787
603.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7119
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97934
754.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
124504
973.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22359
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
228252
293.4 IPS |
|
|
Style Transfer (Q)
|
96% |
223117
287.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5259
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47075
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56613
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5189
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5151
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3491
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4414
76.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4719
81.5 IPS |
