Mac15,12
Geekbench AI Score
4166
Single Precision Score
30862
Half Precision Score
34697
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | December 17 2024 02:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1601
297.8 IPS |
|
|
Image Classification (HP)
|
100% |
17417
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
20157
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1945
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20953
339.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26060
422.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8645
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122170
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
121115
142.0 IPS |
|
|
Object Detection (SP)
|
100% |
1853
147.0 IPS |
|
|
Object Detection (HP)
|
100% |
18495
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20837
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3574
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
38919
462.4 IPS |
|
|
Face Detection (Q)
|
100% |
50494
600.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7248
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98785
761.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
125040
977.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22462
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
230276
296.0 IPS |
|
|
Style Transfer (Q)
|
96% |
221844
286.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5314
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47765
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57474
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2896
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5121
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5061
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3528
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4391
75.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4683
80.9 IPS |
