Mac15,12
Geekbench AI Score
4076
Single Precision Score
32723
Half Precision Score
36668
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Sixty4 |
| Upload Date | November 25 2024 11:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1573
292.6 IPS |
|
|
Image Classification (HP)
|
100% |
17407
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
20143
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1905
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20968
339.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25827
418.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8424
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
121677
142.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
121157
142.0 IPS |
|
|
Object Detection (SP)
|
100% |
1831
145.2 IPS |
|
|
Object Detection (HP)
|
100% |
18492
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20751
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3509
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
38546
458.0 IPS |
|
|
Face Detection (Q)
|
100% |
49782
591.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7164
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98633
759.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
124268
971.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22253
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
229736
295.3 IPS |
|
|
Style Transfer (Q)
|
96% |
221990
286.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5089
187.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46329
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55794
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2906
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5146
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5072
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3318
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8234
141.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8646
149.4 IPS |
